Stars
An Open Source Machine Learning Framework for Everyone
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
🐍 Geometric Computer Vision Library for Spatial AI
SCAAML: Side Channel Attacks Assisted with Machine Learning
Faker is a Python package that generates fake data for you.
AMD Ryzen™ AI Software includes the tools and runtime libraries for optimizing and deploying AI inference on AMD Ryzen™ AI powered PCs.
Tsunami is a general purpose network security scanner with an extensible plugin system for detecting high severity vulnerabilities with high confidence.
A library for efficient similarity search and clustering of dense vectors.
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
A game theoretic approach to explain the output of any machine learning model.
Graph Neural Network Library for PyTorch
A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).
Model interpretability and understanding for PyTorch
YSDA course in Natural Language Processing
Conditional GAN for generating synthetic tabular data.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Training PyTorch models with differential privacy
Tutorial notebooks for hls4ml
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
2025年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
Python 3.8+ toolbox for submitting jobs to Slurm
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks (ICLR 2023 Spotlight)
[CVPR2022 oral] A Simple and Effective Baseline for Text-to-Image Synthesis
Revisiting Transferable Adversarial Images (TPAMI 2025)