JeanKaddour's Stars
bharathgs/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
allenai/allennlp
An open-source NLP research library, built on PyTorch.
facebookresearch/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
bndr/pipreqs
pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.
AntixK/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
mosaicml/composer
Supercharge Your Model Training
lightly-ai/lightly
A python library for self-supervised learning on images.
jeonsworld/ViT-pytorch
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
snap-stanford/ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
clementchadebec/benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
yfzhang114/Generalization-Causality
关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记
VincentStimper/normalizing-flows
PyTorch implementation of normalizing flow models
kamenbliznashki/normalizing_flows
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
BlackHC/toma
Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory
EugenHotaj/pytorch-generative
Easy generative modeling in PyTorch
fadel/pytorch_ema
Tiny PyTorch library for maintaining a moving average of a collection of parameters.
marcellodebernardi/loss-landscapes
Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch
backprop-ai/backprop
Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
patrick-kidger/torchcubicspline
Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, and backpropagation.
juntang-zhuang/GSAM
PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)
logancyang/loss-landscape-anim
Create animations for the optimization trajectory of neural nets
sbarratt/torch_interpolations
Interpolation routines in Pytorch.
ethanluoyc/magi
Reinforcement learning library in JAX.
phlippe/ENCO
Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
davda54/ada-hessian
Easy-to-use AdaHessian optimizer (PyTorch)
JonasGeiping/fullbatchtraining
Training vision models with full-batch gradient descent and regularization
jeonsworld/MLP-Mixer-Pytorch
Pytorch reimplementation of the Mixer (MLP-Mixer: An all-MLP Architecture for Vision)
jaryaman/causal-inference-cheat-sheet
Summary of useful results in Causal Inference
ADGEfficiency/cem
Parallelized Cross Entropy Method
oscarkey/interlocking-backprop
Code for "Interlocking Backpropagation: Improving depthwise model-parallelism"