matsuo-shinnosuke

matsuo-shinnosuke's Stars

• JordanAsh/badge

  An implementation of the BADGE batch active learning algorithm.

  Language:Python19332

• stainlessnight/LLP-LargeBags

  Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bags in ECAI2024.

  2

• HobbitLong/SupContrast

  PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

  Language:Python3.1k526

• matsuo-shinnosuke/abci-tutorial

  Language:Python1

• satwik77/pyDPP

  A python package for sampling from determinantal point processes

  Language:Jupyter Notebook328

• matsuo-shinnosuke/siRNA_accum

  A novel frame for selective siRNA accumulation underlying the interaction of flexible signal sequences and KH-domain factors

  Language:Python2

• ai4co/rl4co

  A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)

  Language:Python38771

• asanomitakanori/Mixbag

  Language:Python3

• avihu111/TypiClust

  Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets

  Language:Python777

• matsuo-shinnosuke/LPLP

  Learning from Partial Label Proportions for Whole Slide Image Segmentation in MICCAI2024.

  Language:Python3

• opendilab/awesome-RLHF

  A curated list of reinforcement learning with human feedback resources (continually updated)

  3.2k200

• cliangyu/CSVAL

  [MIDL 2023] Official Imeplementation of "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning"

  Language:Python332

• BlackHC/BatchBALD

  Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

  Language:Python23052

• acl21/deep-active-learning-pytorch

  A PyTorch toolkit with 8 popular deep active learning query methods implemented.

  Language:Python819

• modAL-python/modAL

  A modular active learning framework for Python

  Language:Python2.2k323

• imJiawen/Warpformer

  Language:Python202

• yd-kwon/MatNet

  codes for the paper "Matrix Encoding Networks for Neural Combinatorial Optimization"

  Language:Python6213

• SineZHAN/deepALplus

  This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbox).

  Language:Python16524

• baifanxxx/awesome-active-learning

  A curated list of awesome Active Learning

  70968

• Reza-Safdari/SimSiam-91.9-top1-acc-on-CIFAR10

  Pytorch implementation of the paper Exploring Simple Siamese Representation Learning.

  Language:Python6416

• Mephisto405/Learning-Loss-for-Active-Learning

  Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]

  Language:Python21350

• qubvel-org/segmentation_models.pytorch

  Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

  Language:Python9.4k1.6k

• vqdang/hover_net

  Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.

  Language:Python523220

• JackieZhangdx/WeakSupervisedSegmentationList

  This repository contains lists of state-or-art weakly supervised semantic segmentation works

  59188

• LightersWang/Awesome-Active-Learning-for-Medical-Image-Analysis

  [MedIA] Accompanying paper list and source code for survey "A comprehensive survey on deep active learning in medical image analysis"

  Language:Python623

• HiLab-git/SSL4MIS

  Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

  Language:Python2.1k382

• matsuo-shinnosuke/cis-decoding

  Genome-wide cis-decoding for expression design in tomato using cistrome data and explainable deep learning

  Language:Python2

• szc19990412/TransMIL

  TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification

  Language:Python33872

• miccaiif/WENO

  Official PyTorch implementation of our NeurIPS 2022 paper: Weakly Supervised Knowledge Distillation for Whole Slide Image Classification

  Language:Python5611

• Z-Jianxin/LLPFC

  Language:Python7