zhongyu zhang's starred repositories
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.
generative-models
Generative Models by Stability AI
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.
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)
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.
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.
ColossalAI
Colossal-AI: A Unified Deep Learning System for Big Model Era