File size: 1,342 Bytes
0c880e8 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 |
streamlit
# 🌟 - Build interactive apps. Ex: st.write("Hello, AI!") → Displays text | Web magic unleashed! ✨
# 📈 - Visualize data easily. Ex: st.line_chart({"data": [1, 2, 3]}) → Plots line | Graphs in a snap! 📊
# 🖼️ - Show Mermaid graphs. Ex: st.mermaid("graph TD A-->B") → Renders diagram | Visualize like a pro! 🧩
transformers
# 🤖 - Generate text fast. Ex: pipeline("text-generation")("Tell me a story") → Story string | Tales on demand! 📖
# 😊 - Analyze sentiment. Ex: pipeline("sentiment-analysis")("I love AI") → Positive dict | Feelings decoded! 💖
# 🧠 - Load smart models. Ex: AutoModel.from_pretrained("bert-base-uncased") → BERT model | NLP power boost! ⚡
torch
# 🔥 - Crunch numbers. Ex: torch.tensor([1.0, 2.0]) → Tensor([1., 2.]) | Math made fiery! 🔢
# 🛠️ - Build neural nets. Ex: torch.nn.Linear(10, 5) → Linear layer | Deep learning bricks! 🏗️
# 🚀 - Train models. Ex: torch.optim.Adam(model.parameters(), lr=0.001) → Optimizer | Learning takes flight! 🏃
pandas
# 📊 - Load data frames. Ex: pd.read_csv("data.csv") → DataFrame | Data wrangling begins! 🐼
# 🔍 - Filter rows. Ex: df[df["age"] > 30] → Filtered DataFrame | Search with ease! 🕵️
# 📉 - Plot insights. Ex: df.plot(kind="bar", x="name") → Bar chart | Visualize trends! 📈 |