21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

Deep learning in image processing

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

Awesome-LLM: a curated list of Large Language Model

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

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

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, m…

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

Breaching privacy in federated learning scenarios for vision and text

PyTorch implementations of Generative Adversarial Networks.

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

Github Pages template for personal, portfolio-based websites; forked from mmistakes/minimal-mistakes

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

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

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

Graph Neural Networks for Recommender Systems

instance based Transfer learning, TrAdaboost, mutisource-trAdaBoost regresion

缺陷检测文献记录

Fair Resource Allocation in Federated Learning (ICLR '20)

《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

Lime: Explaining the predictions of any machine learning classifier

A curated list of awesome privacy preserving machine learning resources

This repository including most of cnn visualizations techniques using pytorch

Pytorch implementation of convolutional neural network visualization techniques

CNN可视化、理解CNN

simple Differential Privacy in PyTorch

The basic distribution probability Tutorial for Deep Learning Researchers