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.
A collection of various awesome lists for hackers, pentesters and security researchers
The world's simplest facial recognition api for Python and the command line
A library for efficient similarity search and clustering of dense vectors.
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。
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A game theoretic approach to explain the output of any machine learning model.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Graph Neural Network Library for PyTorch
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
你管这破玩意叫操作系统源码 — 像小说一样品读 Linux 0.11 核心代码
Faker is a Python package that generates fake data for you.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
Style transfer, deep learning, feature transform
🐍 Geometric Computer Vision Library for Spatial AI
YSDA course in Natural Language Processing
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
A minimal GPU design in Verilog to learn how GPUs work from the ground up
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
Tsunami is a general purpose network security scanner with an extensible plugin system for detecting high severity vulnerabilities with high confidence.
Pytorch implementation of convolutional neural network visualization techniques
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
An adversarial example library for constructing attacks, building defenses, and benchmarking both
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Matlab code of machine learning algorithms in book PRML