Stars
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Models and examples built with TensorFlow
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…
The world's simplest facial recognition api for Python and the command line
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
State-of-the-art 2D and 3D Face Analysis Project
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）
🔥 2D and 3D Face alignment library build using pytorch
Real-Time High-Resolution Background Matting
Setup and customize deep learning environment in seconds.
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)
PyTorch deep learning projects made easy.
The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8…
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation