wanglun1996

wanglun1996's Stars

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python169k1.5k2.9k44.5k

• ChatGPTNextWeb/ChatGPT-Next-Web

  A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。

  Language:TypeScript77.3k4153.2k59.5k

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python37.7k3773196k

• kuangliu/pytorch-cifar

  95.47% on CIFAR10 with PyTorch

  Language:Python6k951362.1k

• chaoyanghe/Awesome-Federated-Learning

  FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

  1.9k914333

• facebookresearch/CrypTen

  A framework for Privacy Preserving Machine Learning

  Language:Python1.6k43263282

• bytedance/fedlearner

  A multi-party collaborative machine learning framework

  Language:Python8912831172

• EmulationAI/awesome-large-audio-models

  Collection of resources on the applications of Large Language Models (LLMs) in Audio AI.

  61023334

• IBM/FedMA

  Code for Federated Learning with Matched Averaging, ICLR 2020.

  Language:Python334131686

• junyuseu/pytorch-cifar-models

  3.41% and 17.11% error on CIFAR-10 and CIFAR-100

  Language:Python329121296

• google/fedjax

  FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.

  Language:Python254111741

• wenwei202/terngrad

  Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)

  Language:Python183111448

• ftramer/slalom

  Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware

  Language:C++16193640

• IBM/probabilistic-federated-neural-matching

  Bayesian Nonparametric Federated Learning of Neural Networks

  Language:Python14015330

• ZhengyuZhao/AI-Security-and-Privacy-Events

  A curated list of academic events on AI Security & Privacy

  1369215

• jxbz/signSGD

  Code for the signSGD paper

  Language:Jupyter Notebook814215

• ftramer/Handcrafted-DP

  Language:Python802616

• microsoft/prv_accountant

  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.

  Language:Python718710

• sunblaze-ucb/dpml-benchmark

  This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.

  Language:Python6314118

• wanglun1996/secure-robust-federated-learning

  Language:Python533276

• yflyl613/NewsRecommendation

  Implementation of several news recommendation methods in Pytorch.

  Language:Python341711

• wborgeaud/python-bulletproofs

  Python3 implementation of Bulletproofs - non-interactive zero-knowledge proof protocol with very short proofs and without a trusted setup.

  Language:Python26125

• cryptobiu/MATRIX

  MPC Simulation Framework

  Language:Python2493412

• kenziyuliu/DP2

  [ICLR 2023] Official JAX/Haiku implementation of the paper "Differentially Private Adaptive Optimization with Delayed Preconditioners"

  Language:Python16300

• sunblaze-ucb/privguard-artifact

  Artifact of PrivAnalyzer as described in the Usenix 2022 paper "PrivGuard: Privacy Regulation Compliance Made Easier"

  Language:Python12411

• Qi-Pang/LLM-Watermark-Attacks

  7100

• sunblaze-ucb/Priv-PC-Differentially-Private-Causal-Graph-Discovery

  Language:Python7701

• HuanyuZhang/INSPECTRE

  Language:Python5502

• trentkyono/DECAF

  Language:Python41211

• simra/FedNewsRec

  Data and code of our paper "Privacy-Preserving News Recommendation Model Learning"

  Language:Python1080