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pyproject.toml
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pyproject.toml
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[tool.poetry]
name = "cuda-jax"
version = "0.1.0"
description = "CUDA ML Environment"
authors = ["Jonathan Hayase <jhayase@cs.uw.edu>"]
[tool.poetry.dependencies]
python = "~3.10"
# Non-ML
tqdm = "^4.59.0"
python-dotenv = {extras = ["cli"], version = "^0.16.0"}
Cython = "^0.29.24"
tabulate = "^0.8.10"
joblib = "^1.1.0"
pytest = "^7.2.0"
sortedcontainers = "^2.4.0"
parallel-sort = "^0.1.0"
cloudpathlib = "^0.13.0"
# Classic Python Libraries
numpy = "^1.23.5"
scipy = "^1.9.3"
pandas = "^1.5.2"
scikit-learn = "^1.1"
seaborn = "^0.11.2"
statsmodels = "^0.13.2"
sympy = "^1.10.1"
ftfy = "^6.1.1"
nltk = "^3.7"
numba = "^0.56.0"
opencv-python = "4.7.0"
# Framework-agnostic ML and interchange
wandb = "^0.12.21"
albumentations = "^1.2.0"
cleverhans = "^4.0.0"
onnx = "^1.12.0"
shapecheck = "^0.0.2"
einops = "^0.4.1"
onnx2pytorch = "^0.4.1"
jax2torch = "^0.0.7"
nvidia-tensorrt = "^99.0.0"
# triton = { version = "*", allow-prereleases = true}
# Slurm
submitit = "^1.4.2"
# pyslurm = {git="https://github.com/PythonNut/pyslurm.git", rev="fix-build"}
# PyTorch
torch = "2.0.0"
torchvision = "^0.15.1"
webdataset = "^0.2.5"
vit-pytorch = "^0.35.8"
surgeon-pytorch = "^0.0.4"
pytorch-lightning = "^1.7.1"
pytorch-ignite = "^0.4.10"
torchmetrics = "^0.9.3"
kornia = "^0.6.6"
# ffcv = "^1.0.2"
timm = "^0.6.11"
clip = {git="https://github.com/openai/CLIP.git", rev="main"}
open-clip-torch = {git="https://github.com/mlfoundations/open_clip", rev="main"}
fvcore = "^0.1.5.post20221221"
opacus = "^1.3.0"
xformers = "^0.0.17"
fairscale = "^0.4.13"
# TensorFlow
tensorflow = "2.12.0"
tensorflow-datasets = "^4.6.0"
tensorboard = "^2.9.1"
tensorboardX = "^2.5.1"
tensorflow-probability = "^0.18.0"
# JAX
jax = "^0.4.7"
jaxlib = {url="https://storage.googleapis.com/jax-releases/cuda11/jaxlib-0.4.7+cuda11.cudnn82-cp310-cp310-manylinux2014_x86_64.whl"}
flax = "^0.6.4"
dm-haiku = "^0.0.9"
# elegy = "^0.8.6"
equinox = "^0.10.1"
# neural-tangents = {git = "https://github.com/google/neural-tangents", rev = "main"}
neural-tangents = "^0.6.0"
optax = "^0.1.2"
jaxopt = "^0.4.2"
diffrax = "^0.3.1"
tree-math = "^0.1.0"
dm-tree = "^0.1.7"
jax-metrics = "^0.1.2"
jax-models = {git="https://github.com/DarshanDeshpande/jax-models.git", rev="main"}
jax-resnet = {git="https://github.com/n2cholas/jax-resnet.git", rev="main"}
jax-loss = "^0.0.1"
jax-cosmo = "^0.1rc9"
augmax = "^0.2.2"
# oryx = "^0.2.4"
optax-shampoo = "^0.0.5"
jaxtyping = "^0.2.11"
# Hugging Face
diffusers = "^0.13.1"
transformers = "^4.26.1"
datasets = "^2.10.0"
accelerate = "^0.16.0"
huggingface-hub = "^0.12.1"
# Optimal Transport
POT = "^0.8.2"
ott-jax = "^0.2.7"
# Math Optimization and SAT
ortools = "^9.3.10497"
python-sat = "*"
cvxpy = "^1.2.1"
cvxopt = "^1.3.0"
gurobipy = "^9.5.1"
quadprog = "^0.1.11"
Mosek = "^9.3.20"
z3-solver = "^4.9.1.0"
py-aiger = "^6.1.23"
lapjv = "^1.3.22"
# Data formats
imageio = "^2.15.0"
dill = {git="https://github.com/uqfoundation/dill.git", rev="master"}
cloudpickle = "^2.0.0"
tables = "^3.7.0"
fastparquet = "^2022.11.0"
pyarrow = "^10.0.1"
pysimdjson = "^5.0.2"
omegaconf = "^2.3.0"
[tool.poetry.dev-dependencies]
ipython = "^8.0"
jupyter = "^1.0"
jupytext = "^1.13.8"
python-lsp-server = "^1.4.1"
python-lsp-black = "^1.2.1"
[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"