innovation-cat

gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

lime

Lime: Explaining the predictions of any machine learning classifier

academicpages.github.io

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

Keras-GAN

Keras implementations of Generative Adversarial Networks.

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

beautiful-jekyll

✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com

InterpretableMLBook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

iree

A retargetable MLIR-based machine learning compiler and runtime toolkit.

Awesome-Federated-Machine-Learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers

Deep-Tutorials-for-PyTorch

In-depth tutorials for implementing deep learning models on your own with PyTorch.

surface-defect-detection

缺陷检测文献记录

Practicing-Federated-Learning

CNN-Visualization

CNN可视化、理解CNN

backdoors101

Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.

GNN-RecSys

Graph Neural Networks for Recommender Systems

backdoor_federated_learning

Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)

breaching

Breaching privacy in federated learning scenarios for vision and text

fair_flearn

Fair Resource Allocation in Federated Learning (ICLR '20)

research

FedEM

Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)

Hands-On-Meta-Learning-with-Python

Hands-On Meta Learning with Python

pytorch-privacy

simple Differential Privacy in PyTorch

federated-unlearning

Code implementation of the paper "Federated Unlearning: How to Efficiently Erase a Client in FL?" published at UpML (part of ICML 2022)

pytorch_cnn_visualization_implementations

This repository including most of cnn visualizations techniques using pytorch

TransferLearning

instance based Transfer learning, TrAdaboost, mutisource-trAdaBoost regresion

awesome-privacy-preserving-machine-learning

A curated list of awesome privacy preserving machine learning resources