Kreutzer-C's Stars
amusi/Deep-Learning-Interview-Book
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
LAION-AI/scaling-laws-openclip
Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)
miccaiif/INS
Official Pytorch Code of Our Paper: Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need
zongzi3zz/CAT
The official respository of paper ''Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation''
wangerforcs/XJTU-Annual-Eat
一年过去了,你在洗脚食堂里花的钱都花在哪儿了?
clemneo/llava-interp
liguodongiot/llm-action
本项目旨在分享大模型相关技术原理以及实战经验(大模型工程化、大模型应用落地)
hendrycks/test
Measuring Massive Multitask Language Understanding | ICLR 2021
wkklavis/DAPSAM
tntek/source-free-domain-adaptation
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
WisconsinAIVision/RISE
Domain Generalization through Distilling CLIP with Language Guidance
invictus717/UniDG
Towards Unified and Effective Domain Generalization
ShishuaiHu/Label-Propagation
Code for [COSMOS 2022 Challenge] Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis.
yulequan/UA-MT
code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.
reczoo/Datasets
A curated collection of recommendation datasets with trackable dataset IDs
ShumengLI/PLN
Jin-Ying/GTA-Seg
Code for GTA-Seg (NeurIPS2022)
lonePatient/awesome-pretrained-chinese-nlp-models
Awesome Pretrained Chinese NLP Models,高质量中文预训练模型&大模型&多模态模型&大语言模型集合
datawhalechina/so-large-lm
大模型基础: 一文了解大模型基础知识
reczoo/FuxiCTR
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
fuxuemingzhu/MovieLens-Recommender
A pure Python implement of Collaborative Filtering based on MovieLens' dataset.
Dingseewhole/CI_LightGCN_master
hellloxiaotian/ADNet
Attention-guided CNN for image denoising(Neural Networks,2020)
cszn/KAIR
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
milesial/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
lesliejackson/PyTorch-Distributed-Training
Example of PyTorch DistributedDataParallel
AlanChou/Deep-Co-Training-for-Semi-Supervised-Image-Recognition
Unofficial implementation of the paper 'Deep Co-Training for Semi-Supervised Image Recognition'
JayRothenberger/Meta-Co-Training
ahmdtaha/simsiam
Pytorch implementation of Exploring Simple Siamese Representation Learning