HWliiu

stable-diffusion-webui-forge

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

IP-Adapter

The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.

CogCoM

milvus

A cloud-native vector database, storage for next generation AI applications

DeepSeek-VL

DeepSeek-VL: Towards Real-World Vision-Language Understanding

AnyDoor

Official implementations for paper: Anydoor: zero-shot object-level image customization

DeepSeek-Coder

DeepSeek Coder: Let the Code Write Itself

fastllm

纯c++的全平台llm加速库，支持python调用，chatglm-6B级模型单卡可达10000+token / s，支持glm, llama, moss基座，手机端流畅运行

vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

byte-unixbench

Automatically exported from code.google.com/p/byte-unixbench

Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

Segment-Everything-Everywhere-All-At-Once

[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

LLaVA

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

CogVLM

a state-of-the-art-level open visual language model | 多模态预训练模型

facechain

FaceChain is a deep-learning toolchain for generating your Digital-Twin.

U-2-Net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

anime-segmentation

high-accuracy segmentation for anime character

detrex

detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.

SFIV_with_DQN

lite.ai.toolkit

🛠 A lite C++ toolkit of awesome AI models, support ONNXRuntime, MNN. Contains YOLOv5, YOLOv6, YOLOX, YOLOv8, FaceDet, HeadSeg, HeadPose, Matting etc. Engine: ONNXRuntime, MNN.

rembg

Rembg is a tool to remove images background

recognize-anything

Open-source and strong foundation image recognition models.

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"

envd

🏕️ Reproducible development environment

Chinese-CLIP

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

LAVIS

LAVIS - A One-stop Library for Language-Vision Intelligence

BLIP

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation