Joshua-Ren's Stars
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
google-research/vision_transformer
NVIDIA/apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
lukemelas/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
facebookresearch/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
facebookresearch/dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
kuangliu/pytorch-cifar
95.47% on CIFAR10 with PyTorch
NVIDIA/DALI
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
cornellius-gp/gpytorch
A highly efficient implementation of Gaussian Processes in PyTorch
libffcv/ffcv
FFCV: Fast Forward Computer Vision (and other ML workloads!)
pengzhiliang/MAE-pytorch
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
mravanelli/pytorch-kaldi
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
google/neural-tangents
Fast and Easy Infinite Neural Networks in Python
davda54/sam
SAM: Sharpness-Aware Minimization (PyTorch)
oscarknagg/few-shot
Repository for few-shot learning machine learning projects
hendrycks/robustness
Corruption and Perturbation Robustness (ICLR 2019)
tanglang96/DataLoaders_DALI
PyTorch DataLoaders implemented with DALI for accelerating image preprocessing
rgeirhos/texture-vs-shape
Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)
AnubhavGupta3377/Text-Classification-Models-Pytorch
Implementation of State-of-the-art Text Classification Models in Pytorch
WangYueFt/rfs
amzn/xfer
Transfer Learning library for Deep Neural Networks.
rajatvd/NTK
Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK
libffcv/ffcv-imagenet
Train ImageNet *fast* in 500 lines of code with FFCV
xunge/pytorch_lmdb_imagenet
Use lmdb to speed up imagenet dataset
ahmdtaha/knowledge_evolution
(CVPR-Oral 2021) PyTorch implementation of Knowledge Evolution approach and Split-Nets
LeoYu/neural-tangent-kernel-UCI
Testing Nerual Tangent Kernel (NTK) on small UCI datasets
yixinwang/representation-causal-public
hlml/fortuitous_forgetting
TimoFlesch/NeuralTangentKernel
A Python implementation of the Neural Tangent Kernel (jacot et al, 2018)
uoe-agents/Expressivity-of-Emergent-Languages
The official code base of Expressivity of Emergent Languages (ICLR-2022).