mandlos

mandlos's Stars

• Sta8is/DINO-Foresight

  Official Implementation of DINO-Foresight: Looking into the Future with DINO

  Language:Python111

• facebookresearch/flow_matching

  A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.

  Language:Python1.6k63

• CCIG-Champalimaud/waw-tace-radiomics

  Language:Jupyter Notebook1

• w1oves/Rein

  [CVPR 2024] Official implement of <Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation>

  Language:Python29122

• google-research/vision_transformer

  Language:Jupyter Notebook10.7k1.3k

• gpleiss/temperature_scaling

  A simple way to calibrate your neural network.

  Language:Python1.1k161

• gustaveroussy/sopa

  Technology-invariant pipeline for spatial omics analysis that scales to millions of cells (Xenium / Visium HD / MERSCOPE / CosMx / PhenoCycler / MACSima / etc)

  Language:Python14420

• chenw20/SGPA

  Example code of Sparse Gaussian Process Attention (ICLR 2023)

  Language:Python223

• SarahRastegar/Best-Papers-Top-Venues

  Best Papers of Top Venues like CVPR, NeurIPS, ICLR, ICML, ICCV, ECCV, ...

  806

• ralphc1212/bayes-mil

  Code of "Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images" - ICLR 2023

  Language:Python151

• DeepMicroscopy/nnUNet

  Language:Python2

• PerrySkywalker/TransMIL-visualisation

  Language:Python201

• bioptimus/releases

  858

• georg-wolflein/pathology-foundation-models

  List of pathology feature extractors and foundation models

  747

• mahmoodlab/MMP

  Multimodal prototyping for cancer survival prediction - ICML 2024

  Language:Jupyter Notebook657

• konstantinos-p/Bayesian-Neural-Networks-Reading-List

  A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. More details: "A Primer on Bayesian Neural Networks: Review and Debates"

  514

• prov-gigapath/prov-gigapath

  Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data

  Language:Python44762

• szc19990412/TransMIL

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

  Language:Python37374

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.8k4.8k

• mbanani/lgssl

  [CVPR 2023] Learning Visual Representations via Language-Guided Sampling

  Language:Python1469

• facebookresearch/dinov2

  PyTorch code and models for the DINOv2 self-supervised learning method.

  Language:Jupyter Notebook9.5k850

• google-research/big_vision

  Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.

  Language:Jupyter Notebook2.5k164

• owkin/HistoSSLscaling

  Code associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., MedRxiv (2023). We publicly release Phikon 🚀

  Language:Jupyter Notebook14811

• mahmoodlab/SurvPath

  Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction - CVPR 2024

  Language:Python1206

• p-lambda/wilds

  A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

  Language:Python555129

• KatherLab/HIA

  Histopathology Image Analysis

  Language:Python9217

• KatherLab/preProcessing

  Language:Python4313

• xristosfrag/Responsible-AI-Website

  Language:HTML1

• mahmoodlab/HIPT

  Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)

  Language:Jupyter Notebook52292