yanggang's repositories
yolov8-obb
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
DAL
[AAAI 2021] Official implementation of "Dynamic Anchor Learning for Arbitrary-Oriented Object Detection".
flexible-yolov5
More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbam，dcn and so on), and tensorrt
geoserver
GeoServer repository revised by yanggang
jsoncpp
A C++ library for interacting with JSON.
lama
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
llama
Inference code for Llama models
MAC-SQL
MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL
MindSQL
MindSQL: A Python Text-to-SQL RAG Library simplifying database interactions. Seamlessly integrates with PostgreSQL, MySQL, SQLite, Snowflake, and BigQuery. Powered by GPT-4 and Llama 2, it enables natural language queries. Supports ChromaDB and Faiss for context-aware responses.
mmdetection
OpenMMLab Detection Toolbox and Benchmark
mmrotate
OpenMMLab Rotated Object Detection Toolbox and Benchmark
NL2SQL360
Official repository for the paper “The Dawn of Natural Language to SQL: Are We Fully Ready?” (VLDB'24)
pannellum
Pannellum is a lightweight, free, and open source panorama viewer for the web.
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
samexporter
Export Segment Anything Models to ONNX
segment-anything-2
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
tapas
End-to-end neural table-text understanding models.
ToolsForGeoserver
This is software for geoserver work
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
yolox-o
这是一个yolox-o的源码，可以用于训练自己的模型。