xuchengong

xuchengong's Stars

• chamwen/NT-Benchmark

  A Benchmark to Study Negative Transfer https://ieeexplore.ieee.org/document/9938381

  Language:Python151

• zachscrivena/simple-resume-cv

  Template for a simple resume or curriculum vitae (CV), in XeLaTeX.

  Language:TeX494151

• pliang279/awesome-phd-advice

  Collection of advice for prospective and current PhD students

  1.6k119

• adityatelange/hugo-PaperMod

  A fast, clean, responsive Hugo theme.

  Language:HTML9.7k2.6k

• karpathy/llm.c

  LLM training in simple, raw C/CUDA

  Language:Cuda23.7k2.7k

• locuslab/tofu

  Landing Page for TOFU

  Language:Python8418

• tamlhp/awesome-machine-unlearning

  Awesome Machine Unlearning (A Survey of Machine Unlearning)

  Language:Jupyter Notebook71151

• CrimsonRadiator/LEEP-Pytorch

  Pytorch implementation of LEEP: A New Measure to Evaluate Transferability of Learned Representations

  Language:Python6

• Long-Kai/TransRate

  Official code of TransRate

  Language:Python72

• MinghuiChen43/awesome-trustworthy-deep-learning

  A curated list of trustworthy deep learning papers. Daily updating...

  34134

• tianwen-fu/jemdoc-autoreload

  A script for automatically recompile jemdoc websites

  Language:Python1

• facebookresearch/FLSim

  Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. FLSim is domain-agnostic and accommodates many use cases such as vision and text.

  Language:Python25057

• IBM/model-reprogramming

  Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>

  571

• nerfies/nerfies.github.io

  Language:JavaScript2.4k850

• litian96/ditto

  Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)

  Language:Python13729

• KarhouTam/FL-bench

  Benchmark of federated learning. Dedicated to the community. 🤗

  Language:Python48073

• TsingZ0/PFLlib

  37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.

  Language:Python1.4k290

• Guang000/Awesome-Dataset-Distillation

  A curated list of awesome papers on dataset distillation and related applications.

  Language:HTML1.4k130

• GeorgeCazenavette/mtt-distillation

  Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"

  Language:Python39254

• gortizji/tangent_task_arithmetic

  Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".

  Language:Python8110

• dangkhoasdc/awesome-ai-residency

  List of AI Residency Programs

  3.1k272

• paperswithcode/releasing-research-code

  Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

  2.6k715

• Johann-Huber/batchnorm_pytorch

  A simple implementation of Batch Normalization using pytorch.

  Language:Jupyter Notebook428

• yaodongyu/TRADES

  TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)

  Language:Python511123

• tomgoldstein/loss-landscape

  Code for visualizing the loss landscape of neural nets

  Language:Python2.8k396

• fra31/robust-finetuning

  Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"

  Language:Python154

• jvanburen/21-373-s16

  Notes for Algebraic Structures, taught Spring 2016 at Carnegie Mellon University, by Professor Clinton Conley.

  Language:TeX132

• mli/paper-reading

  深度学习经典、新论文逐段精读

  26.5k2.4k

• dair-ai/GNNs-Recipe

  🟠 A study guide to learn about Graph Neural Networks (GNNs)

  1.1k116

• zhengqigao/PRML-Solution-Manual

  My Own Solution Manual of PRML

  960127