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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
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…
Interact with your documents using the power of GPT, 100% privately, no data leaks
The world's simplest facial recognition api for Python and the command line
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Making large AI models cheaper, faster and more accessible
Official Code for DragGAN (SIGGRAPH 2023)
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
OpenMMLab Detection Toolbox and Benchmark
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
Image-to-Image Translation in PyTorch
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
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
A modular graph-based Retrieval-Augmented Generation (RAG) system
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)