yunkai's repositories
DenoisingDiffusionProbabilityModel-ddpm-
This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
LibFewShot
LibFewShot: A Comprehensive Library for Few-shot Learning.
MLCN
Multi-Level Correlation Network For Few-Shot Image Classification
alpaca_eval
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
Awesome-Few-Shot-Class-Incremental-Learning
Awesome Few-Shot Class-Incremental Learning
awesome-MIM
Reading list for research topics in Masked Image Modeling
awesome-papers-fewshot
Collection for Few-shot Learning
blog
基于SpringBoot + Vue 开发的前后端分离博客，采用SpringSecurity进行权限管理，ElasticSearch全文搜索，支持QQ、微博第三方登录、在线聊天、发布说说等功能。
c2rust
Migrate C code to Rust
ClassicSolution
NLP解决方案[WIP]
ConBench
Official implementation of paper "Unveiling the Tapestry of Consistency in Large Vision-Language Models".
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
FewTURE
Official implementation of the paper "Rethinking Generalization in Few-Shot Classification"
GPT4Vis
GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Recognition?
learn2learn
A PyTorch Library for Meta-learning Research
MiniCPM
MiniCPM-2B: An end-side LLM outperforms Llama2-13B.
MiniGPT-4
MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
RLAIF-V
RLAIF-V: Aligning MLLMs through Open-Source AI Feedback for Super GPT-4V Trustworthiness
SemanticPrompt
This is the PyTorch implementation of Semantic Prompt for Few-Shot Learning
tjuthesis
LaTeX thesis template for Tianjin University. 天津大学硕博学位论文 LaTeX 模板。
URL
Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task-specific Adapters - CVPR 2022
vision
Datasets, Transforms and Models specific to Computer Vision