ckswjd99

ckswjd99'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

  Language:Python21.2k1562693.1k

• kuangliu/pytorch-cifar

  95.47% on CIFAR10 with PyTorch

  Language:Python6.1k951362.1k

• weiaicunzai/pytorch-cifar100

  Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

  Language:Python4.4k35821.2k

• NVIDIA/nccl

  Optimized primitives for collective multi-GPU communication

  Language:C++3.3k1531.4k840

• DefTruth/Awesome-LLM-Inference

  📖A curated list of Awesome LLM/VLM Inference Papers with codes, such as FlashAttention, PagedAttention, Parallelism, etc. 🎉🎉

  3.1k1056207

• ridgerchu/matmulfreellm

  Implementation for MatMul-free LM.

  Language:Python2.9k4435187

• google/XNNPACK

  High-efficiency floating-point neural network inference operators for mobile, server, and Web

  Language:C1.9k54230375

• htqin/awesome-model-quantization

  A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

  1.8k6112203

• IBM/pytorch-seq2seq

  An open source framework for seq2seq models in PyTorch.

  Language:Python1.5k60116375

• akamaster/pytorch_resnet_cifar10

  Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

  Language:Python1.2k534334

• princeton-nlp/MeZO

  [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333

  Language:Python1.1k194066

• graykode/gpt-2-Pytorch

  Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation

  Language:Python9762718227

• huawei-noah/AdderNet

  Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

  Language:Python9552573187

• kentaroy47/vision-transformers-cifar10

  Let's train vision transformers (ViT) for cifar 10!

  Language:Python563723112

• Zhen-Dong/Awesome-Quantization-Papers

  List of papers related to neural network quantization in recent AI conferences and journals.

  48616139

• chengyangfu/pytorch-vgg-cifar10

  This is the PyTorch implementation of VGG network trained on CIFAR10 dataset

  Language:Jupyter Notebook347712116

• orobix/fwdgrad

  Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch

  Language:Python100789

• VITA-Group/LiGO

  [ICLR 2023] "Learning to Grow Pretrained Models for Efficient Transformer Training" by Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogerio Feris, David Cox, Zhangyang Wang, Yoon Kim

  Language:Python832629

• bobby-he/Neural_Tangent_Kernel

  Language:Jupyter Notebook67208

• htqin/BiBench

  [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binarization.

  Language:Python54244

• google-research/growneuron

  Language:Jupyter Notebook53699

• OPTML-Group/DeepZero

  [ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Diffenderfer, Jiancheng Liu, Konstantinos Parasyris, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu

  Language:Python47146

• thunlp/Knowledge-Inheritance

  Source code for paper: Knowledge Inheritance for Pre-trained Language Models

  Language:Python38714

• eghouti/BinaryConnect

  Implementation of BinaryConnect on Pytorch

  Language:Jupyter Notebook36358

• L0SG/feedback-alignment-pytorch

  Implementation of feedback alignment learning in PyTorch

  Language:Python29226

• omihub777/MLP-Mixer-CIFAR

  PyTorch implementation of Mixer-nano (#parameters is 0.67M, originally Mixer-S/16 has 18M) with 90.83 % acc. on CIFAR-10. Training from scratch.

  Language:Python29136

• matthias-wright/cifar10-resnet

  PyTorch implementation of a 9-layer ResNet for CIFAR-10.

  Language:Python11105

• cakeng/ASPEN

  This is the proof-of-concept CPU implementation of ASPEN used for the NeurIPS'23 paper ASPEN: Breaking Operator Barriers for Efficient Parallelization of Deep Neural Networks.

  Language:Assembly10101

• liux2/RNN-on-wikitext2

  Pytorch of RNN and LSTM on wikitext2 dataset

  Language:Jupyter Notebook7203

• Prev/clustered-imagenet-labels

  A dataset for production-friendly image classifiers

  Language:Python3100