limchaos

limchaos's Stars

• lunit-io/benchmark-ssl-pathology

  Official repository of Benchmarking Self-Supervised Learning on Diverse Pathology Datasets

  714

• openvinotoolkit/anomalib

  An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

  Language:Python3.6k647

• SerendipitysX/ChartSpark

  Let the Chart Spark: Embedding Semantic Context into Chart with Text-to-Image Generative Model

  Language:Python31

• Xiyue-Wang/TransPath

  Language:Python24832

• Richarizardd/Self-Supervised-ViT-Path

  Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)

  Language:Jupyter Notebook13617

• PathologyFoundation/plip

  Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.

  Language:Python25626

• amusi/CVPR2024-Papers-with-Code

  CVPR 2024 论文和开源项目合集

  17.7k2.6k

• tiangexiang/SQUID

  [CVPR 2023] Deep Feature In-painting for Unsupervised Anomaly Detection in X-ray Images

  Language:Python906

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML10.7k926

• STIMALiU/ml-reading-group

  Information and organization of the STIMA Machine Learning Reading Group

  212

• yue-zhongqi/tcm

  Language:Python325

• yfzhang114/Generalization-Causality

  关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

  1.1k103

• zhaoxin94/awesome-domain-adaptation

  A collection of AWESOME things about domian adaptation

  5k866

• causaltext/causal-text-papers

  Curated research at the intersection of causal inference and natural language processing.

  77295

• STIMALiU/ProbTheoryCourse

  Course material for Probability Theory (Master level) at Linköping university

  Language:TeX25

• cvg/SOLD2

  Joint deep network for feature line detection and description

  Language:Jupyter Notebook54173

• qianqianwang68/caps

  Language:Jupyter Notebook18325

• mattiasvillani/BayesLearnCourse

  Bayesian Learning course at Stockholm University

  Language:PostScript14331

• sunghoonim/DPSNet

  [ICLR19] DPSNet: End-to-end Deep Plane Sweep Stereo

  Language:Python23752

• weixk2015/DeepSFM

  This is a PyTorch implementation of the ECCV2020 paper "DeepSFM: Structure From Motion Via Deep Bundle Adjustment".

  Language:Python31845

• roboticcam/machine-learning-notes

  My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

  Language:Jupyter Notebook8.4k1.7k

• PruneTruong/GLU-Net

  Official implementation of the paper GLU-Net (CVPR2020-Oral)

  Language:Python23230

• daattali/beautiful-jekyll

  ✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com

  Language:HTML5.3k16.1k

• mihaidusmanu/d2-net

  D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

  Language:Jupyter Notebook779164

• lzx551402/GL3D

  GL3D (Geometric Learning with 3D Reconstruction): a large-scale database created for 3D reconstruction and geometry-related learning problems

  Language:Python29040

• YoYo000/BlendedMVS

  BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks

  54640

• lzx551402/contextdesc

  Implementation of CVPR'19 paper (oral) - ContextDesc: Local Descriptor Augmentation with Cross-Modality Context

  Language:Python23134

• zjhthu/OANet

  Implementation of ICCV19 Paper "Learning Two-View Correspondences and Geometry Using Order-Aware Network"

  Language:Python25247

• ubc-vision/image-matching-benchmark

  Public release of the Image Matching Benchmark: https://image-matching-challenge.github.io

  Language:Jupyter Notebook51192

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  15.9k3k