Stars
An opinionated list of awesome Python frameworks, libraries, software and resources.
🤗 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.
Models and examples built with TensorFlow
A curated list of awesome Machine Learning frameworks, libraries and software.
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…
利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
deep learning for image processing including classification and object-detection etc.
Image-to-Image Translation in PyTorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
The interactive graphing library for Python ✨
PyTorch implementations of Generative Adversarial Networks.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
An open source implementation of CLIP.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Keras code and weights files for popular deep learning models.
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722