name: dvats_env channels: #--- Torch & Cuda - pytorch #- nvidia/label/cuda-12.2.0 - nvidia #--- Generic - conda-forge - defaults #--- AI - fastai - rapidsai - defaults - conda-forge - timeseriesai dependencies: ########################## # Generic configurations # ########################## - nano=7.2=h8228510_0 - git=2.42.0=pl5321h86e50cf_0 #--- github - gh=2.37.0=ha8f183a_0 #--- Python - python=3.10.13=hd12c33a_0_cpython #WANDB <= 0.15.12 needs this version. See https://github.com/wandb/wandb/issues/6546 - ipython=8.16.1=pyh0d859eb_0 - pip=23.3.1=pyhd8ed1ab_0 - conda-forge::twine=4.0.2=pyhd8ed1ab_0 - conda-forge::xeus-python=0.15.10=py310hd41b1e2_1 #--- NodeJS - conda-forge::nodejs=20.8.1=h1990674_0 #---Jupyter - conda-forge::ipywidgets=8.1.1=pyhd8ed1ab_0 - conda-forge::jupyterlab=4.0.7=pyhd8ed1ab_0 - conda-forge::jupyterlab-git=0.41.0=pyhd8ed1ab_1 - conda-forge::nbclassic=1.0.0=pyhb4ecaf3_1 - conda-forge::nbdev=2.2.10=pyhd8ed1ab_0 - nbformat>=5.1.3 #--- passwords & files - keyrings.alt - platformdirs=2.5.2 - conda-forge::keyrings.alt=4.2.0=pyhd8ed1ab_0 - psutil>=5.4.8 ############## # CUDA & GPU # ############## - nvidia::cuda-toolkit=11.6=0 - rapidsai::cudf=23.02=cuda_11_py310_g5ad4a85b9d_0 - rapidsai::cuml=23.02=cuda11_py310_g3356f05bd_0 - conda-forge::genv=1.2.0=pyhd8ed1ab_0 ############ # Specific # ############ #--- Torch - pytorch=1.13=py3.10_cuda11.7_cudnn8.5.0_0 #---Graphs & imgs - conda-forge::plotly=5.18.0=pyhd8ed1ab_0 - conda-forge::jpeg=9e=h166bdaf_2 - conda-forge::seaborn=0.13.0=hd8ed1ab_0 - conda-forge::matplotlib=3.8.1=py310hff52083_0 #--- IA - conda-forge::hdbscan=0.8.33=py310h1f7b6fc_4 - conda-forge::imbalanced-learn>= 0.8.0 - conda-forge::pyts >= 0.12.0 - conda-forge::umap-learn=0.5.4=py310hff52083_0 - conda-forge::scikit-learn=1.2.2=py310hf7d194e_2 - conda-forge::wandb=0.14.2=pyhd8ed1ab_0 - fastai::fastai>=2.7.9 - timeseriesai::tsai - conda-forge::feather-format