swagger-coder

SysCompiler

compiler design for 2021-BUAA-Compiler-lecture

Segment-Any-Anomaly

Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".

AgentGPT

🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

HunyuanDiT

Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

fish-speech

Brand new TTS solution

sd-webui-EasyPhoto

📷 EasyPhoto | Your Smart AI Photo Generator.

APE

[ICCV 2023] Code for "Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement"

fluentui-emoji

A collection of familiar, friendly, and modern emoji from Microsoft

wewe-rss

🤗更优雅的微信公众号订阅方式，支持私有化部署、微信公众号RSS生成（基于微信读书）v2.x

IDM-VTON

IDM-VTON : Improving Diffusion Models for Authentic Virtual Try-on in the Wild

llama3

The official Meta Llama 3 GitHub site

devika

Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.

dust3r

DUSt3R: Geometric 3D Vision Made Easy

CoOp

Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

ailearning

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

web-llm

High-performance In-browser LLM Inference Engine

StableCascade

Official Code for Stable Cascade

minbpe

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

ovsam

[arXiv preprint] The official code of paper "Open-Vocabulary SAM".

Depth-Anything

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

LISA

Project Page for "LISA: Reasoning Segmentation via Large Language Model"

Grounded-Segment-Anything

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

Awesome-Segment-Anything

Collect some resource about Segment Anything (SAM), including the latest papers and demo

LLaVA

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

LaVIN

[NeurIPS 2023] Official implementations of "Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models"

Semantic-SAM

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

CVinW_Readings

A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''

Awesome-state-space-models

Collection of papers on state-space models

rising-repo

Open-GroundingDino

This is the third party implementation of the paper Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.