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

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Datasets, Transforms and Models specific to Computer Vision

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Simple samples for TensorRT programming

C++ library based on tensorrt integration

End-to-End Object Detection with Transformers

🔥🔥🔥YOLOv7, YOLOv5, YOLOv4, Transformer, YOLOX, YOLOR, YOLOv3 and Improved-YOLOv5... Support to improve backbone, head, loss, IoU, NMS and other modules

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

A simple, fully convolutional model for real-time instance segmentation.

Python sample codes for robotics algorithms.

A simple implementation of Tensorrt YOLOv7

TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet

yolort is a runtime stack for yolov5 on specialized accelerators such as libtorch, onnxruntime, tensorrt, tvm and ncnn.

Simplify your onnx model

Tensors and Dynamic neural networks in Python with strong GPU acceleration

yolov5部署

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

Implementation of popular deep learning networks with TensorRT network definition API

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

OpenMMLab Image Classification Toolbox and Benchmark

The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

这是一个deeplabv3-plus-pytorch的源码，可以用于训练自己的模型。

deep learning for image processing including classification and object-detection etc.

中国大学MOOC《机器人操作系统入门》课程代码示例

tensorrt int8 量化yolov5 onnx模型