wilxy

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

GFPGAN

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

generative-models

Generative Models by Stability AI

JARVIS

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

insightface

State-of-the-art 2D and 3D Face Analysis Project

Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

LangChain-Chinese-Getting-Started-Guide

LangChain 的中文入门教程

zotero-pdf-translate

Translate PDF, EPub, webpage, metadata, annotations, notes to the target language. Support 20+ translate services.

InternLM

Official release of InternLM2.5 base and chat models. 1M context support

notebooks

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

mergekit

Tools for merging pretrained large language models.

awesome-Face_Recognition

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

TNN

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

Awesome-Incremental-Learning

Awesome Incremental Learning

ffhq-dataset

Flickr-Faces-HQ Dataset (FFHQ)

LVM

TFace

A trusty face analysis research platform developed by Tencent Youtu Lab

llm-hallucination-survey

Reading list of hallucination in LLMs. Check out our new survey paper: "Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models"

Awesome-Controllable-T2I-Diffusion-Models

A collection of resources on controllable generation with text-to-image diffusion models.

AdaFace

mtt-distillation

Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"

CIL_Survey

Class-Incremental Learning: A Survey (TPAMI 2024)

Awesome-Model-Merging-Methods-Theories-Applications

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.

attention-feature-distillation

Official implementation for (Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching, AAAI-2021)

Awesome-Model-Merging

:couple: A curated list of Model Merging methods.

Awesome-Continual-Learning

A paper list of our recent survey on continual learning, and other useful resources in this field.

kprpe

ColossalAI

Colossal-AI: A Unified Deep Learning System for Big Model Era