ganliqiang

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

Detic

Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".

SAM-Adapter-PyTorch

Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

ViT-Adapter

[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions

Co-DETR

[ICCV 2023] DETRs with Collaborative Hybrid Assignments Training

tph-yolov5

SAM-DA

This is the official code for the paper "SAM-DA: UAV Tracks Anything at Night with SAM-Powered Domain Adaptation".

Semantic-SAM

[ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Grounded-Segment-Anything

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

GroundingDINO

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

Sequence-to-Action

Grammar correct project based Tencent's paper(Sequence to Action)

MetaGPT

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

textgen

TextGen: Implementation of Text Generation models, include LLaMA, BLOOM, GPT2, BART, T5, SongNet and so on. 文本生成模型，实现了包括LLaMA，ChatGLM，BLOOM，GPT2，Seq2Seq，BART，T5，UDA等模型的训练和预测，开箱即用。

gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it. Completely separate team and codebase from the AI Web App builder https://gptengineer.app

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

BMTools

Tool Learning for Big Models, Open-Source Solutions of ChatGPT-Plugins

Mask-Predict-main

Code for EMNLP2022 Findings paper "An Error-Guided Correction Model for Chinese Spelling Error Correction"

NaSGEC

Code & Data for our Paper "NaSGEC: Multi-Domain Chinese Grammatical Error Correction for Native Speaker Texts" (ACL 2023 Findings)

fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

lemon

pycorrector

pycorrector is a toolkit for text error correction. 文本纠错，实现了Kenlm，T5，MacBERT，ChatGLM3，LLaMA等模型应用在纠错场景，开箱即用。

2021rsipac_changeDetection_TOP4

OpenSTL

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

GeoSeg

UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.

Remote-Sensing-RVSA

The official repo for [TGRS'22] "Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model"

RSPrompter

This is the pytorch implement of our paper "RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model"

Awesome-Segmentation-With-Transformer

[T-PAMI-2024] Transformer-Based Visual Segmentation: A Survey