Stars
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
OpenMMLab Detection Toolbox and Benchmark
An open-source RAG-based tool for chatting with your documents.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
End-to-End Object Detection with Transformers
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Accessible large language models via k-bit quantization for PyTorch.
A faster pytorch implementation of faster r-cnn
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
An Open Source Python alternative to NotebookLM's podcast feature: Transforming Multimodal Content into Captivating Multilingual Audio Conversations with GenAI
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
OpenMMLab Pre-training Toolbox and Benchmark
A simple, easy-to-hack GraphRAG implementation
Code for visualizing the loss landscape of neural nets
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
A unified library of SOTA model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks …
A realtime sketch to image demo using LCM and the gradio library.
Pytorch implementation of various Knowledge Distillation (KD) methods.
DomainBed is a suite to test domain generalization algorithms
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
Brevitas: neural network quantization in PyTorch