YefanZhou

awesome-tips

dispersion-score

[3DV 2021] A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks

ModelDiagnosis

[ICML 2024] MD tree: a model-diagnostic tree grown on loss landscape

TempBalance

[NeurIPS 2023 Spotlight] Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training

ThreeRegimePruning

[ICML 2023] Code for "A Three-regime Model of Network Pruning"

YefanZhou/TempBalance

[NeurIPS 2023 Spotlight] Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training

YefanZhou/dispersion-score

[3DV 2021] A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks

YefanZhou/ThreeRegimePruning

[ICML 2023] Code for "A Three-regime Model of Network Pruning"

YefanZhou/ModelDiagnosis

[ICML 2024] MD tree: a model-diagnostic tree grown on loss landscape

YefanZhou/awesome-tips

YefanZhou/adahessian_reprod

YefanZhou/Awesome-Information-Bottleneck

This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.

YefanZhou/awesome-llm-interpretability

A curated list of Large Language Model (LLM) Interpretability resources.

YefanZhou/Awesome-ScalingLaws

A curated list of awesome resources dedicated to Scaling Laws for LLMs

YefanZhou/deep-learning-dynamics-paper-list

This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and stochastic optimization. Thus, deep learning dynamics play an essentially important role in theoretical foundation of deep learning.

YefanZhou/DiscoNet

[NeurIPS2021] Learning Distilled Collaboration Graph for Multi-Agent Perception

YefanZhou/Heterophily_and_oversmoothing

Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"

YefanZhou/hydra-1

Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (https://arxiv.org/abs/2002.10509).

YefanZhou/layerwise-lr

YefanZhou/LLM-Adapters

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

YefanZhou/loss_landscape_taxonomy

[NeurIPS 2021] code for "Taxonomizing local versus global structure in neural network loss landscapes" https://arxiv.org/abs/2107.11228

YefanZhou/meng_slurm_tutorial

YefanZhou/open_lth

A repository in preparation for open-sourcing lottery ticket hypothesis code.

YefanZhou/PA3

YefanZhou/peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

YefanZhou/powerlaw

YefanZhou/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)

YefanZhou/pytorch_resnet_cifar10

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

YefanZhou/pytorch_sparse

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

YefanZhou/rigl-reproducibility

Reproducing RigL (ICML 2020) as a part of ML Reproducibility Challenge 2020

YefanZhou/sam

SAM: Sharpness-Aware Minimization (PyTorch)

YefanZhou/vision

Datasets, Transforms and Models specific to Computer Vision

YefanZhou/vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

YefanZhou/YefanZhou.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

YefanZhou/zenodo-upload

upload big files to Zenodo using cURL, jq and bash