conda create --name deep python=3.9.12
conda install pip
pip install --upgrade pip
conda install nodejs # Optional
conda install --freeze-installed conda-token
conda install -n base conda-libmamba-solver
conda config --set solver libmamba
conda install -c nvidia -c conda-forge -c pytorch -c defaults magma-cuda121 astunparse numpy ninja pyyaml setuptools cmake typing_extensions six requests dataclasses mkl mkl-include
conda install pandas numpy matplotlib seaborn scikit-learn tqdm pre-commit yacs cython
pip install scikit-image imageio plotly dash opencv-python pygraphviz networkx captum ftfy regex nltk
pip install black usort flake8 flake8-bugbear flake8-comprehensions
pip install tensorboard
Usage: tensorboard --logdir=./tmp --port=8888
conda install -c conda-forge jupyter notebook
conda install -c conda-forge nb_conda_kernels
conda install -c conda-forge jupyterlab
conda install -c miniconda ipykernel nb_conda
pip install jupyter_contrib_nbextensions
jupyter contrib nbextension install --user
Usage: jupyter notebook --no-browser --port=8800
conda install -c nvidia cuda==12.1.*
conda install pytorch==2.2.0 torchvision==0.17.0 torchaudio==2.2.0 pytorch-cuda=12.1 -c pytorch -c nvidia
conda install faiss-gpu --override-channels -c pytorch
conda install -c rapidsai -c conda-forge -c nvidia rapids=24.02 cuda-version=12.0
conda install conda-forge::transformers
conda install -c huggingface -c conda-forge datasets
pip install evaluate
pip install git+https://github.com/openai/CLIP.git
pip install open_clip_torch
conda install -c conda-forge optuna
conda install pyg -c pyg
conda install pytorch-sparse -c pyg
conda install pytorch-scatter -c pyg
conda install lightning -c conda-forge
pip install streamlit
pip install gradio
pip install textblob
python -m textblob.download_corpora
pip install 'aif360[all]'
pip install salesforce-lavis
git clone https://github.com/facebookresearch/mmf.git
cd mmf
pip install --editable . (pip install --editable . --user --no-build-isolation)
pip install pykale
pip install openmim
git clone https://github.com/open-mmlab/mmpretrain.git
cd mmpretrain
mim install -e .
mim install -e ".[multimodal]"
pip install clip-benchmark
pip install wandb
Usage: wandb login or wandb login --relogin --host=<server url>
pip install kaggle
pip install mlflow
Usage: mlflow server --host 127.0.0.1 --port 8080```
conda install -c fastai fastai
https://github.com/sdc17/UPop