yhhhli's Stars
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
NVIDIA/apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
lukemelas/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
google-research/arxiv-latex-cleaner
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
lixin4ever/Conference-Acceptance-Rate
Acceptance rates for the major AI conferences
quark0/darts
Differentiable architecture search for convolutional and recurrent networks
apache/singa
a distributed deep learning platform
monyhar/monyhar
梦弘浏览器 - 完全自主研发,打破国外垄断,比 Chrome 快 600%。
osmr/imgclsmob
Sandbox for training deep learning networks
google-deepmind/alphatensor
quic/aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
bearpaw/pytorch-classification
Classification with PyTorch.
google-research/big_transfer
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
hysts/pytorch_image_classification
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
ModelTC/MQBench
Model Quantization Benchmark
NVlabs/DeepInversion
Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)
shaohua0116/ICLR2020-OpenReviewData
Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
junyuseu/pytorch-cifar-models
3.41% and 17.11% error on CIFAR-10 and CIFAR-100
yhhhli/APoT_Quantization
PyTorch implementation for the APoT quantization (ICLR 2020)
yhhhli/BRECQ
Pytorch implementation of BRECQ, ICLR 2021
zzzxxxttt/pytorch_DoReFaNet
A pytorch implementation of DoReFa-Net
Zx55/dmcp
wimh966/QDrop
The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization
htqin/BiBERT
This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.
yhhhli/SNN_Calibration
Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021
brain-intelligence-lab/temporal_efficient_training
Code for temporal efficient training
Intelligent-Computing-Lab-Yale/Exploring-Lottery-Ticket-Hypothesis-in-SNNs
Exploring Lottery Ticket Hypothesis in Sparse Spiking Neural Networks (ECCV2022, oral presentation)
lyh983012/ES-imagenet-master
code for generating data set ES-ImageNet with corresponding training code
Intelligent-Computing-Lab-Yale/SNNCKA
Pytorch implementation of ANN-SNN representation similarity analysis (TMLR 2023)