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Abdulrhman37
commited on
Commit
·
0471209
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Parent(s):
initial commit
Browse files- .github/workflow/hf_space.yml +22 -0
- LICENCE +21 -0
- app.py +16 -0
- components.py +43 -0
- model.py +28 -0
- prompts.py +15 -0
- requirements.txt +567 -0
.github/workflow/hf_space.yml
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name: Sync to Hugging Face hub
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on:
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push:
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branches: [main]
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workflow_dispatch:
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jobs:
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sync-to-hub:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v2
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with:
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fetch-depth: 0
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- name: Add remote
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env:
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HF: ${{ secrets.HF_TOKEN }}
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run: git remote add space https://Abdulrhman37:[email protected]/spaces/Abdulrhman37/ft_metallurgy
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- name: Push to hub
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env:
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HF: ${{ secrets.HF_TOKEN }}
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run: git push --force https://Abdulrhman37:[email protected]/spaces/Abdulrhman37/ft_metallurgy main
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LICENCE
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MIT License
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Copyright (c) [Year] [Your Name]
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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app.py
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from model import load_model, answer
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from components import create_app_layout
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# Load the model and tokenizer
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model, tokenizer = load_model()
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# Define the function for Gradio to call
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def gradio_answer_fn(query):
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return answer(model, tokenizer, query)
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# Create the app layout
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app = create_app_layout(gradio_answer_fn)
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# Launch the app
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if __name__ == "__main__":
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app.launch(share=True)
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components.py
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import gradio as gr
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def create_app_layout(answer_fn):
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with gr.Blocks() as app:
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with gr.Row():
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with gr.Column(scale=1, min_width=200): # Sidebar
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gr.Image("assets/lama.webp", label=None, elem_id="sidebar-image")
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gr.Markdown(
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"""
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**Metallurgy Expert Assistant**
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This app provides technical insights in metallurgy, materials science, and engineering.
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Enter your query below or choose an example to get started.
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"""
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)
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with gr.Column(scale=3): # Main content
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gr.Markdown("# Metallurgy Expert Assistant")
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gr.Markdown("### Example Questions:")
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examples = gr.Dropdown(
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choices=[
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"What are the effects of adding rare earth elements to magnesium alloys?",
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"What are the advantages of TIG welding over MIG welding for aluminum alloys?",
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"How does ultrasonic testing (UT) detect internal flaws in materials?",
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"How does cathodic protection (CP) work in marine environments?",
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],
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label="Select an example question",
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)
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query_input = gr.Textbox(
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label="Enter your technical question",
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placeholder="e.g., How to improve the toughness of Mg-Al-Mn alloys?",
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lines=3,
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)
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submit_btn = gr.Button("Get Response")
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response_output = gr.Textbox(
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label="Generated Response",
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placeholder="The model's generated response will appear here.",
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lines=10,
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interactive=False,
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)
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examples.change(fn=lambda ex: ex, inputs=examples, outputs=query_input)
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submit_btn.click(fn=answer_fn, inputs=query_input, outputs=response_output)
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return app
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model.py
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@@ -0,0 +1,28 @@
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from unsloth import FastLanguageModel
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import torch
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from prompts import metallurgy_prompt
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def load_model():
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max_seq_length = 2048
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dtype = None
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load_in_4bit = True
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model, tokenizer = FastLanguageModel.from_pretrained(
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model_name="Abdulrhman37/lora_model",
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max_seq_length=max_seq_length,
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dtype=dtype,
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load_in_4bit=load_in_4bit,
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)
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FastLanguageModel.for_inference(model)
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return model, tokenizer
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def answer(model, tokenizer, query: str) -> str:
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inputs = tokenizer(
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[metallurgy_prompt.format(query, "", "")],
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return_tensors="pt"
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).to("cuda")
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outputs = model.generate(**inputs, use_cache=True)
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result = tokenizer.batch_decode(outputs)
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split_content = result[0].split("### Response:")
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return split_content[1].strip().replace("<|end_of_text|>", "")
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prompts.py
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metallurgy_prompt = """You are a highly knowledgeable assistant specializing in metallurgy, materials science,
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and engineering. Below is a technical instruction. Your task is to provide an accurate, domain-specific response that appropriately addresses the request.
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Ensure Your response is detailed, Provide scientifically rigorous and quantitative responses, Reference fundamental principles and mechanisms,
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Include potential equations, calculations, or microstructural insights where relevant, Support statements with scientific reasoning,
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Discuss potential variations or alternative interpretations.
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### Instruction:
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{}
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### Input:
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{}
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### Response:
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{}"""
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requirements.txt
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1 |
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absl-py==1.4.0
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2 |
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accelerate==1.1.1
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3 |
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aiofiles==23.2.1
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4 |
+
aiohappyeyeballs==2.4.3
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5 |
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aiohttp==3.11.2
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6 |
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aiosignal==1.3.1
|
7 |
+
alabaster==1.0.0
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8 |
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albucore==0.0.19
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9 |
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albumentations==1.4.20
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10 |
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altair==4.2.2
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11 |
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annotated-types==0.7.0
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12 |
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anyio==3.7.1
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13 |
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argon2-cffi==23.1.0
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14 |
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argon2-cffi-bindings==21.2.0
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15 |
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array_record==0.5.1
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16 |
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arviz==0.20.0
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17 |
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astropy==6.1.6
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18 |
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astropy-iers-data==0.2024.11.18.0.35.2
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19 |
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astunparse==1.6.3
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20 |
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async-timeout==4.0.3
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21 |
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atpublic==4.1.0
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22 |
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attrs==24.2.0
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23 |
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audioread==3.0.1
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24 |
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autograd==1.7.0
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25 |
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babel==2.16.0
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26 |
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backcall==0.2.0
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27 |
+
beautifulsoup4==4.12.3
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28 |
+
bigframes==1.27.0
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29 |
+
bigquery-magics==0.4.0
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30 |
+
bitsandbytes==0.44.1
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31 |
+
bleach==6.2.0
|
32 |
+
blinker==1.9.0
|
33 |
+
blis==0.7.11
|
34 |
+
blosc2==2.7.1
|
35 |
+
bokeh==3.6.1
|
36 |
+
Bottleneck==1.4.2
|
37 |
+
bqplot==0.12.43
|
38 |
+
branca==0.8.0
|
39 |
+
CacheControl==0.14.1
|
40 |
+
cachetools==5.5.0
|
41 |
+
catalogue==2.0.10
|
42 |
+
certifi==2024.8.30
|
43 |
+
cffi==1.17.1
|
44 |
+
chardet==5.2.0
|
45 |
+
charset-normalizer==3.4.0
|
46 |
+
chex==0.1.87
|
47 |
+
clarabel==0.9.0
|
48 |
+
click==8.1.7
|
49 |
+
cloudpathlib==0.20.0
|
50 |
+
cloudpickle==3.1.0
|
51 |
+
cmake==3.30.5
|
52 |
+
cmdstanpy==1.2.4
|
53 |
+
colorcet==3.1.0
|
54 |
+
colorlover==0.3.0
|
55 |
+
colour==0.1.5
|
56 |
+
community==1.0.0b1
|
57 |
+
confection==0.1.5
|
58 |
+
cons==0.4.6
|
59 |
+
contourpy==1.3.1
|
60 |
+
cryptography==43.0.3
|
61 |
+
cuda-python==12.2.1
|
62 |
+
cudf-cu12 @ https://pypi.nvidia.com/cudf-cu12/cudf_cu12-24.10.1-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
|
63 |
+
cufflinks==0.17.3
|
64 |
+
cupy-cuda12x==12.2.0
|
65 |
+
cut-cross-entropy==24.11.4
|
66 |
+
cvxopt==1.3.2
|
67 |
+
cvxpy==1.5.4
|
68 |
+
cycler==0.12.1
|
69 |
+
cymem==2.0.8
|
70 |
+
Cython==3.0.11
|
71 |
+
dask==2024.10.0
|
72 |
+
datascience==0.17.6
|
73 |
+
datasets==3.1.0
|
74 |
+
db-dtypes==1.3.1
|
75 |
+
dbus-python==1.2.18
|
76 |
+
debugpy==1.8.0
|
77 |
+
decorator==4.4.2
|
78 |
+
defusedxml==0.7.1
|
79 |
+
Deprecated==1.2.15
|
80 |
+
diffusers==0.31.0
|
81 |
+
dill==0.3.8
|
82 |
+
distro==1.9.0
|
83 |
+
dlib==19.24.2
|
84 |
+
dm-tree==0.1.8
|
85 |
+
docker-pycreds==0.4.0
|
86 |
+
docstring_parser==0.16
|
87 |
+
docutils==0.21.2
|
88 |
+
dopamine_rl==4.0.9
|
89 |
+
duckdb==1.1.3
|
90 |
+
earthengine-api==1.2.0
|
91 |
+
easydict==1.13
|
92 |
+
ecos==2.0.14
|
93 |
+
editdistance==0.8.1
|
94 |
+
eerepr==0.0.4
|
95 |
+
einops==0.8.0
|
96 |
+
en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.7.1/en_core_web_sm-3.7.1-py3-none-any.whl#sha256=86cc141f63942d4b2c5fcee06630fd6f904788d2f0ab005cce45aadb8fb73889
|
97 |
+
entrypoints==0.4
|
98 |
+
et_xmlfile==2.0.0
|
99 |
+
etils==1.10.0
|
100 |
+
etuples==0.3.9
|
101 |
+
eval_type_backport==0.2.0
|
102 |
+
exceptiongroup==1.2.2
|
103 |
+
fastai==2.7.18
|
104 |
+
fastapi==0.115.5
|
105 |
+
fastcore==1.7.20
|
106 |
+
fastdownload==0.0.7
|
107 |
+
fastjsonschema==2.20.0
|
108 |
+
fastprogress==1.0.3
|
109 |
+
fastrlock==0.8.2
|
110 |
+
ffmpy==0.4.0
|
111 |
+
filelock==3.16.1
|
112 |
+
firebase-admin==6.5.0
|
113 |
+
Flask==3.0.3
|
114 |
+
flatbuffers==24.3.25
|
115 |
+
flax==0.8.5
|
116 |
+
folium==0.18.0
|
117 |
+
fonttools==4.55.0
|
118 |
+
frozendict==2.4.6
|
119 |
+
frozenlist==1.5.0
|
120 |
+
fsspec==2024.9.0
|
121 |
+
future==1.0.0
|
122 |
+
gast==0.6.0
|
123 |
+
gcsfs==2024.10.0
|
124 |
+
GDAL==3.6.4
|
125 |
+
gdown==5.2.0
|
126 |
+
geemap==0.35.1
|
127 |
+
gensim==4.3.3
|
128 |
+
geocoder==1.38.1
|
129 |
+
geographiclib==2.0
|
130 |
+
geopandas==1.0.1
|
131 |
+
geopy==2.4.1
|
132 |
+
gin-config==0.5.0
|
133 |
+
gitdb==4.0.11
|
134 |
+
GitPython==3.1.43
|
135 |
+
glob2==0.7
|
136 |
+
google==2.0.3
|
137 |
+
google-ai-generativelanguage==0.6.10
|
138 |
+
google-api-core==2.19.2
|
139 |
+
google-api-python-client==2.151.0
|
140 |
+
google-auth==2.27.0
|
141 |
+
google-auth-httplib2==0.2.0
|
142 |
+
google-auth-oauthlib==1.2.1
|
143 |
+
google-cloud-aiplatform==1.71.1
|
144 |
+
google-cloud-bigquery==3.25.0
|
145 |
+
google-cloud-bigquery-connection==1.16.1
|
146 |
+
google-cloud-bigquery-storage==2.27.0
|
147 |
+
google-cloud-bigtable==2.27.0
|
148 |
+
google-cloud-core==2.4.1
|
149 |
+
google-cloud-datastore==2.20.1
|
150 |
+
google-cloud-firestore==2.19.0
|
151 |
+
google-cloud-functions==1.18.1
|
152 |
+
google-cloud-iam==2.16.1
|
153 |
+
google-cloud-language==2.15.1
|
154 |
+
google-cloud-pubsub==2.27.1
|
155 |
+
google-cloud-resource-manager==1.13.1
|
156 |
+
google-cloud-storage==2.8.0
|
157 |
+
google-cloud-translate==3.17.0
|
158 |
+
google-colab @ file:///colabtools/dist/google_colab-1.0.0.tar.gz
|
159 |
+
google-crc32c==1.6.0
|
160 |
+
google-generativeai==0.8.3
|
161 |
+
google-pasta==0.2.0
|
162 |
+
google-resumable-media==2.7.2
|
163 |
+
googleapis-common-protos==1.66.0
|
164 |
+
googledrivedownloader==0.4
|
165 |
+
gradio==5.7.1
|
166 |
+
gradio_client==1.5.0
|
167 |
+
graphviz==0.20.3
|
168 |
+
greenlet==3.1.1
|
169 |
+
grpc-google-iam-v1==0.13.1
|
170 |
+
grpcio==1.68.0
|
171 |
+
grpcio-status==1.62.3
|
172 |
+
gspread==6.0.2
|
173 |
+
gspread-dataframe==3.3.1
|
174 |
+
gym==0.25.2
|
175 |
+
gym-notices==0.0.8
|
176 |
+
h11==0.14.0
|
177 |
+
h5netcdf==1.4.1
|
178 |
+
h5py==3.12.1
|
179 |
+
hf_transfer==0.1.8
|
180 |
+
holidays==0.61
|
181 |
+
holoviews==1.20.0
|
182 |
+
html5lib==1.1
|
183 |
+
httpcore==1.0.7
|
184 |
+
httpimport==1.4.0
|
185 |
+
httplib2==0.22.0
|
186 |
+
httpx==0.27.2
|
187 |
+
huggingface-hub==0.26.2
|
188 |
+
humanize==4.11.0
|
189 |
+
hyperopt==0.2.7
|
190 |
+
ibis-framework==9.2.0
|
191 |
+
idna==3.10
|
192 |
+
imageio==2.36.0
|
193 |
+
imageio-ffmpeg==0.5.1
|
194 |
+
imagesize==1.4.1
|
195 |
+
imbalanced-learn==0.12.4
|
196 |
+
imgaug==0.4.0
|
197 |
+
immutabledict==4.2.1
|
198 |
+
importlib_metadata==8.5.0
|
199 |
+
importlib_resources==6.4.5
|
200 |
+
imutils==0.5.4
|
201 |
+
inflect==7.4.0
|
202 |
+
iniconfig==2.0.0
|
203 |
+
intel-cmplr-lib-ur==2025.0.0
|
204 |
+
intel-openmp==2025.0.0
|
205 |
+
ipyevents==2.0.2
|
206 |
+
ipyfilechooser==0.6.0
|
207 |
+
ipykernel==5.5.6
|
208 |
+
ipyleaflet==0.19.2
|
209 |
+
ipyparallel==8.8.0
|
210 |
+
ipython==7.34.0
|
211 |
+
ipython-genutils==0.2.0
|
212 |
+
ipython-sql==0.5.0
|
213 |
+
ipytree==0.2.2
|
214 |
+
ipywidgets==7.7.1
|
215 |
+
itsdangerous==2.2.0
|
216 |
+
jax==0.4.33
|
217 |
+
jax-cuda12-pjrt==0.4.33
|
218 |
+
jax-cuda12-plugin==0.4.33
|
219 |
+
jaxlib==0.4.33
|
220 |
+
jeepney==0.7.1
|
221 |
+
jellyfish==1.1.0
|
222 |
+
jieba==0.42.1
|
223 |
+
Jinja2==3.1.4
|
224 |
+
jiter==0.7.1
|
225 |
+
joblib==1.4.2
|
226 |
+
jsonpatch==1.33
|
227 |
+
jsonpickle==4.0.0
|
228 |
+
jsonpointer==3.0.0
|
229 |
+
jsonschema==4.23.0
|
230 |
+
jsonschema-specifications==2024.10.1
|
231 |
+
jupyter-client==6.1.12
|
232 |
+
jupyter-console==6.1.0
|
233 |
+
jupyter-leaflet==0.19.2
|
234 |
+
jupyter-server==1.24.0
|
235 |
+
jupyter_core==5.7.2
|
236 |
+
jupyterlab_pygments==0.3.0
|
237 |
+
jupyterlab_widgets==3.0.13
|
238 |
+
kaggle==1.6.17
|
239 |
+
kagglehub==0.3.4
|
240 |
+
keras==3.5.0
|
241 |
+
keyring==23.5.0
|
242 |
+
kiwisolver==1.4.7
|
243 |
+
langchain==0.3.7
|
244 |
+
langchain-core==0.3.19
|
245 |
+
langchain-text-splitters==0.3.2
|
246 |
+
langcodes==3.4.1
|
247 |
+
langsmith==0.1.143
|
248 |
+
language_data==1.2.0
|
249 |
+
launchpadlib==1.10.16
|
250 |
+
lazr.restfulclient==0.14.4
|
251 |
+
lazr.uri==1.0.6
|
252 |
+
lazy_loader==0.4
|
253 |
+
libclang==18.1.1
|
254 |
+
libcudf-cu12 @ https://pypi.nvidia.com/libcudf-cu12/libcudf_cu12-24.10.1-py3-none-manylinux_2_28_x86_64.whl
|
255 |
+
librosa==0.10.2.post1
|
256 |
+
lightgbm==4.5.0
|
257 |
+
linkify-it-py==2.0.3
|
258 |
+
llvmlite==0.43.0
|
259 |
+
locket==1.0.0
|
260 |
+
logical-unification==0.4.6
|
261 |
+
lxml==5.3.0
|
262 |
+
marisa-trie==1.2.1
|
263 |
+
Markdown==3.7
|
264 |
+
markdown-it-py==3.0.0
|
265 |
+
MarkupSafe==2.1.5
|
266 |
+
matplotlib==3.8.0
|
267 |
+
matplotlib-inline==0.1.7
|
268 |
+
matplotlib-venn==1.1.1
|
269 |
+
mdit-py-plugins==0.4.2
|
270 |
+
mdurl==0.1.2
|
271 |
+
miniKanren==1.0.3
|
272 |
+
missingno==0.5.2
|
273 |
+
mistune==3.0.2
|
274 |
+
mizani==0.13.0
|
275 |
+
mkl==2025.0.0
|
276 |
+
ml-dtypes==0.4.1
|
277 |
+
mlxtend==0.23.3
|
278 |
+
more-itertools==10.5.0
|
279 |
+
moviepy==1.0.3
|
280 |
+
mpmath==1.3.0
|
281 |
+
msgpack==1.1.0
|
282 |
+
multidict==6.1.0
|
283 |
+
multipledispatch==1.0.0
|
284 |
+
multiprocess==0.70.16
|
285 |
+
multitasking==0.0.11
|
286 |
+
murmurhash==1.0.10
|
287 |
+
music21==9.3.0
|
288 |
+
namex==0.0.8
|
289 |
+
natsort==8.4.0
|
290 |
+
nbclassic==1.1.0
|
291 |
+
nbclient==0.10.0
|
292 |
+
nbconvert==7.16.4
|
293 |
+
nbformat==5.10.4
|
294 |
+
ndindex==1.9.2
|
295 |
+
nest-asyncio==1.6.0
|
296 |
+
networkx==3.4.2
|
297 |
+
nibabel==5.3.2
|
298 |
+
nltk==3.9.1
|
299 |
+
notebook==6.5.5
|
300 |
+
notebook_shim==0.2.4
|
301 |
+
numba==0.60.0
|
302 |
+
numexpr==2.10.1
|
303 |
+
numpy==1.26.4
|
304 |
+
nvidia-cublas-cu12==12.6.3.3
|
305 |
+
nvidia-cuda-cupti-cu12==12.6.80
|
306 |
+
nvidia-cuda-nvcc-cu12==12.6.77
|
307 |
+
nvidia-cuda-runtime-cu12==12.6.77
|
308 |
+
nvidia-cudnn-cu12==9.5.1.17
|
309 |
+
nvidia-cufft-cu12==11.3.0.4
|
310 |
+
nvidia-curand-cu12==10.3.7.77
|
311 |
+
nvidia-cusolver-cu12==11.7.1.2
|
312 |
+
nvidia-cusparse-cu12==12.5.4.2
|
313 |
+
nvidia-nccl-cu12==2.23.4
|
314 |
+
nvidia-nvjitlink-cu12==12.6.77
|
315 |
+
nvtx==0.2.10
|
316 |
+
nx-cugraph-cu12 @ https://pypi.nvidia.com/nx-cugraph-cu12/nx_cugraph_cu12-24.10.0-py3-none-any.whl
|
317 |
+
oauth2client==4.1.3
|
318 |
+
oauthlib==3.2.2
|
319 |
+
openai==1.54.4
|
320 |
+
opencv-contrib-python==4.10.0.84
|
321 |
+
opencv-python==4.10.0.84
|
322 |
+
opencv-python-headless==4.10.0.84
|
323 |
+
openpyxl==3.1.5
|
324 |
+
opentelemetry-api==1.28.2
|
325 |
+
opentelemetry-sdk==1.28.2
|
326 |
+
opentelemetry-semantic-conventions==0.49b2
|
327 |
+
opt_einsum==3.4.0
|
328 |
+
optax==0.2.4
|
329 |
+
optree==0.13.1
|
330 |
+
orbax-checkpoint==0.6.4
|
331 |
+
orjson==3.10.11
|
332 |
+
osqp==0.6.7.post3
|
333 |
+
packaging==24.2
|
334 |
+
pandas==2.2.2
|
335 |
+
pandas-datareader==0.10.0
|
336 |
+
pandas-gbq==0.24.0
|
337 |
+
pandas-stubs==2.2.2.240909
|
338 |
+
pandocfilters==1.5.1
|
339 |
+
panel==1.5.4
|
340 |
+
param==2.1.1
|
341 |
+
parso==0.8.4
|
342 |
+
parsy==2.1
|
343 |
+
partd==1.4.2
|
344 |
+
pathlib==1.0.1
|
345 |
+
patsy==1.0.1
|
346 |
+
peewee==3.17.8
|
347 |
+
peft==0.13.2
|
348 |
+
pexpect==4.9.0
|
349 |
+
pickleshare==0.7.5
|
350 |
+
pillow==11.0.0
|
351 |
+
platformdirs==4.3.6
|
352 |
+
plotly==5.24.1
|
353 |
+
plotnine==0.14.1
|
354 |
+
pluggy==1.5.0
|
355 |
+
polars==1.9.0
|
356 |
+
pooch==1.8.2
|
357 |
+
portpicker==1.5.2
|
358 |
+
preshed==3.0.9
|
359 |
+
prettytable==3.12.0
|
360 |
+
proglog==0.1.10
|
361 |
+
progressbar2==4.5.0
|
362 |
+
prometheus_client==0.21.0
|
363 |
+
promise==2.3
|
364 |
+
prompt_toolkit==3.0.48
|
365 |
+
propcache==0.2.0
|
366 |
+
prophet==1.1.6
|
367 |
+
proto-plus==1.25.0
|
368 |
+
protobuf==3.20.3
|
369 |
+
psutil==5.9.5
|
370 |
+
psycopg2==2.9.10
|
371 |
+
ptyprocess==0.7.0
|
372 |
+
py-cpuinfo==9.0.0
|
373 |
+
py4j==0.10.9.7
|
374 |
+
pyarrow==17.0.0
|
375 |
+
pyarrow-hotfix==0.6
|
376 |
+
pyasn1==0.6.1
|
377 |
+
pyasn1_modules==0.4.1
|
378 |
+
pycocotools==2.0.8
|
379 |
+
pycparser==2.22
|
380 |
+
pydantic==2.9.2
|
381 |
+
pydantic_core==2.23.4
|
382 |
+
pydata-google-auth==1.8.2
|
383 |
+
pydot==3.0.2
|
384 |
+
pydotplus==2.0.2
|
385 |
+
PyDrive==1.3.1
|
386 |
+
PyDrive2==1.21.1
|
387 |
+
pydub==0.25.1
|
388 |
+
pyerfa==2.0.1.5
|
389 |
+
pygame==2.6.1
|
390 |
+
pygit2==1.16.0
|
391 |
+
Pygments==2.18.0
|
392 |
+
PyGObject==3.42.1
|
393 |
+
PyJWT==2.10.0
|
394 |
+
pylibcudf-cu12 @ https://pypi.nvidia.com/pylibcudf-cu12/pylibcudf_cu12-24.10.1-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
|
395 |
+
pylibcugraph-cu12==24.10.0
|
396 |
+
pylibraft-cu12==24.10.0
|
397 |
+
pymc==5.18.2
|
398 |
+
pymystem3==0.2.0
|
399 |
+
pynvjitlink-cu12==0.4.0
|
400 |
+
pyogrio==0.10.0
|
401 |
+
PyOpenGL==3.1.7
|
402 |
+
pyOpenSSL==24.2.1
|
403 |
+
pyparsing==3.2.0
|
404 |
+
pyperclip==1.9.0
|
405 |
+
pyproj==3.7.0
|
406 |
+
pyshp==2.3.1
|
407 |
+
PySocks==1.7.1
|
408 |
+
pyspark==3.5.3
|
409 |
+
pytensor==2.26.3
|
410 |
+
pytest==8.3.3
|
411 |
+
python-apt==0.0.0
|
412 |
+
python-box==7.2.0
|
413 |
+
python-dateutil==2.8.2
|
414 |
+
python-louvain==0.16
|
415 |
+
python-multipart==0.0.12
|
416 |
+
python-slugify==8.0.4
|
417 |
+
python-utils==3.9.0
|
418 |
+
pytz==2024.2
|
419 |
+
pyviz_comms==3.0.3
|
420 |
+
PyYAML==6.0.2
|
421 |
+
pyzmq==24.0.1
|
422 |
+
qdldl==0.1.7.post4
|
423 |
+
ratelim==0.1.6
|
424 |
+
referencing==0.35.1
|
425 |
+
regex==2024.9.11
|
426 |
+
requests==2.32.3
|
427 |
+
requests-oauthlib==1.3.1
|
428 |
+
requests-toolbelt==1.0.0
|
429 |
+
requirements-parser==0.9.0
|
430 |
+
rich==13.9.4
|
431 |
+
rmm-cu12==24.10.0
|
432 |
+
rpds-py==0.21.0
|
433 |
+
rpy2==3.4.2
|
434 |
+
rsa==4.9
|
435 |
+
ruff==0.8.1
|
436 |
+
safehttpx==0.1.1
|
437 |
+
safetensors==0.4.5
|
438 |
+
scikit-image==0.24.0
|
439 |
+
scikit-learn==1.5.2
|
440 |
+
scipy==1.13.1
|
441 |
+
scooby==0.10.0
|
442 |
+
scs==3.2.7
|
443 |
+
seaborn==0.13.2
|
444 |
+
SecretStorage==3.3.1
|
445 |
+
semantic-version==2.10.0
|
446 |
+
Send2Trash==1.8.3
|
447 |
+
sentence-transformers==3.2.1
|
448 |
+
sentencepiece==0.2.0
|
449 |
+
sentry-sdk==2.18.0
|
450 |
+
setproctitle==1.3.4
|
451 |
+
shap==0.46.0
|
452 |
+
shapely==2.0.6
|
453 |
+
shellingham==1.5.4
|
454 |
+
shtab==1.7.1
|
455 |
+
simple-parsing==0.1.6
|
456 |
+
six==1.16.0
|
457 |
+
sklearn-pandas==2.2.0
|
458 |
+
slicer==0.0.8
|
459 |
+
smart-open==7.0.5
|
460 |
+
smmap==5.0.1
|
461 |
+
sniffio==1.3.1
|
462 |
+
snowballstemmer==2.2.0
|
463 |
+
soundfile==0.12.1
|
464 |
+
soupsieve==2.6
|
465 |
+
soxr==0.5.0.post1
|
466 |
+
spacy==3.7.5
|
467 |
+
spacy-legacy==3.0.12
|
468 |
+
spacy-loggers==1.0.5
|
469 |
+
Sphinx==8.1.3
|
470 |
+
sphinxcontrib-applehelp==2.0.0
|
471 |
+
sphinxcontrib-devhelp==2.0.0
|
472 |
+
sphinxcontrib-htmlhelp==2.1.0
|
473 |
+
sphinxcontrib-jsmath==1.0.1
|
474 |
+
sphinxcontrib-qthelp==2.0.0
|
475 |
+
sphinxcontrib-serializinghtml==2.0.0
|
476 |
+
SQLAlchemy==2.0.36
|
477 |
+
sqlglot==25.1.0
|
478 |
+
sqlparse==0.5.2
|
479 |
+
srsly==2.4.8
|
480 |
+
stanio==0.5.1
|
481 |
+
starlette==0.41.3
|
482 |
+
statsmodels==0.14.4
|
483 |
+
StrEnum==0.4.15
|
484 |
+
stringzilla==3.10.10
|
485 |
+
sympy==1.13.1
|
486 |
+
tables==3.10.1
|
487 |
+
tabulate==0.9.0
|
488 |
+
tbb==2022.0.0
|
489 |
+
tcmlib==1.2.0
|
490 |
+
tenacity==9.0.0
|
491 |
+
tensorboard==2.17.1
|
492 |
+
tensorboard-data-server==0.7.2
|
493 |
+
tensorflow==2.17.1
|
494 |
+
tensorflow-datasets==4.9.7
|
495 |
+
tensorflow-hub==0.16.1
|
496 |
+
tensorflow-io-gcs-filesystem==0.37.1
|
497 |
+
tensorflow-metadata==1.13.1
|
498 |
+
tensorflow-probability==0.24.0
|
499 |
+
tensorstore==0.1.68
|
500 |
+
termcolor==2.5.0
|
501 |
+
terminado==0.18.1
|
502 |
+
text-unidecode==1.3
|
503 |
+
textblob==0.17.1
|
504 |
+
tf-slim==1.1.0
|
505 |
+
tf_keras==2.17.0
|
506 |
+
thinc==8.2.5
|
507 |
+
threadpoolctl==3.5.0
|
508 |
+
tifffile==2024.9.20
|
509 |
+
timm==1.0.11
|
510 |
+
tinycss2==1.4.0
|
511 |
+
tokenizers==0.20.3
|
512 |
+
toml==0.10.2
|
513 |
+
tomli==2.1.0
|
514 |
+
tomlkit==0.12.0
|
515 |
+
toolz==0.12.1
|
516 |
+
torch @ https://download.pytorch.org/whl/cu121_full/torch-2.5.1%2Bcu121-cp310-cp310-linux_x86_64.whl
|
517 |
+
torchaudio @ https://download.pytorch.org/whl/cu121/torchaudio-2.5.1%2Bcu121-cp310-cp310-linux_x86_64.whl
|
518 |
+
torchsummary==1.5.1
|
519 |
+
torchvision @ https://download.pytorch.org/whl/cu121/torchvision-0.20.1%2Bcu121-cp310-cp310-linux_x86_64.whl
|
520 |
+
tornado==6.3.3
|
521 |
+
tqdm==4.66.6
|
522 |
+
traitlets==5.7.1
|
523 |
+
traittypes==0.2.1
|
524 |
+
transformers==4.46.2
|
525 |
+
triton==3.1.0
|
526 |
+
trl==0.12.1
|
527 |
+
tweepy==4.14.0
|
528 |
+
typeguard==4.4.1
|
529 |
+
typer==0.13.0
|
530 |
+
types-pytz==2024.2.0.20241003
|
531 |
+
types-setuptools==75.5.0.20241122
|
532 |
+
typing_extensions==4.12.2
|
533 |
+
tyro==0.9.2
|
534 |
+
tzdata==2024.2
|
535 |
+
tzlocal==5.2
|
536 |
+
uc-micro-py==1.0.3
|
537 |
+
umf==0.9.0
|
538 |
+
unsloth @ git+https://github.com/unslothai/unsloth.git@8558bc92b06f9128499484ef737fa71b966ffc23
|
539 |
+
unsloth_zoo==2024.11.8
|
540 |
+
uritemplate==4.1.1
|
541 |
+
urllib3==2.2.3
|
542 |
+
uvicorn==0.32.1
|
543 |
+
vega-datasets==0.9.0
|
544 |
+
wadllib==1.3.6
|
545 |
+
wandb==0.18.7
|
546 |
+
wasabi==1.1.3
|
547 |
+
wcwidth==0.2.13
|
548 |
+
weasel==0.4.1
|
549 |
+
webcolors==24.11.1
|
550 |
+
webencodings==0.5.1
|
551 |
+
websocket-client==1.8.0
|
552 |
+
websockets==12.0
|
553 |
+
Werkzeug==3.1.3
|
554 |
+
widgetsnbextension==3.6.10
|
555 |
+
wordcloud==1.9.4
|
556 |
+
wrapt==1.16.0
|
557 |
+
xarray==2024.10.0
|
558 |
+
xarray-einstats==0.8.0
|
559 |
+
xformers==0.0.28.post3
|
560 |
+
xgboost==2.1.2
|
561 |
+
xlrd==2.0.1
|
562 |
+
xxhash==3.5.0
|
563 |
+
xyzservices==2024.9.0
|
564 |
+
yarl==1.17.2
|
565 |
+
yellowbrick==1.5
|
566 |
+
yfinance==0.2.49
|
567 |
+
zipp==3.21.0
|