[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective".

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

Official implementation of our ICML 2023 paper "LinSATNet: The Positive Linear Satisfiability Neural Networks".

LaTeX package and annotated examples for annotating equations using TikZ.

Implementation of paper Bandpass Filter Based Dual-stream Network for Face Anti-spoofing (3rd FAS CVPR2023)

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

Run your code in the cloud, with technology so advanced, it feels like magic!

🏅 Collection of Kaggle Solutions and Ideas 🏅

Continual Learning papers list, curated by ContinualAI

Adaface with PartialFC

Flower: A Friendly Federated AI Framework

Wrapped some popular deep learning models with C++

A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

A collection for AI Engineer

Latex code for making neural networks diagrams

A curated list of references for MLOps

Algorithms for explaining machine learning models

High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

Create TensorRT-runtime for Retinaface

List of papers, code and experiments using deep learning for time series forecasting

CVPR 论文收集，包含但不限于2022、2021、2020、2019、2018、2017文章

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

Roadmap to becoming a data engineer in 2021

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习