Popular GitHub Repositories for Idea Box

FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Agent-ready RPA suite with out-of-the-box automation tools. Built for individuals and enterprises.

Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系，成为中文AIGC和认知智能的基础设施。

A library for prototyping realtime hand detection (bounding box), directly in the browser.

基于图像识别的自动化黑盒测试框架 | An automation black-box testing framework based on image recognition

Just draw a bounding box and you can remove the object you want to remove.

?? Build Your Own chatgpt Bot|? Discord/Slack/Kook/Telegram |? ToolCall|? Plugin Support | ? out-of-box | gpt-4o

OneDiff: An out-of-the-box acceleration library for diffusion models.

基于 IoC 的 Go 后端一站式开发框架 ( All-in-One Development Framework on IoC for Go ) ?

nndeploy is an end-to-end model inference and deployment framework. It aims to provide users with a powerful, easy-to-use, high-performance, and mainstream framework compatible model inference and deployment experience.一款端到端的模型推理和部署框架。它旨在为用户提供功能强大、简单易用、高性能且兼容主流框架的模型推理和部署体验。

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.

A Vue 3 renderer specifically built for AI-powered streaming Markdown: Monaco incremental, Mermaid progressive, and KaTeX formula speed, with real-time updates and no jitter, ready to use out of the box.

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

Data Augmentation For Object Detection

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

Grounding DINO 1.5: IDEA Research's Most Capable Open-World Object Detection Model Series

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.