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Snuffy: Efficient Whole Slide Image Classifier | ECCV 2024
Awesome Domain Generalization for Computational Pathology
A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book
A comprehensive list of awesome contrastive self-supervised learning papers.
Evaluate custom and HuggingFace text-to-image/zero-shot-image-classification models like CLIP, SigLIP, DFN5B, and EVA-CLIP. Metrics include Zero-shot accuracy, Linear Probe, Image retrieval, and KN…
A curated list of foundation models for vision and language tasks in medical imaging
Out-of-distribution detection, robustness, and generalization resources. The repository contains a professionally curated list of papers, tutorials, books, videos, articles and open-source librarie…
[CVPR 2024] VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis
Recent Advances in Vision and Language PreTrained Models (VL-PTMs)
A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including language and vision, we are continuously improving the project. Wel…
📝Awesome and classical image retrieval papers
Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch
A curated list of popular Datasets, Models and Papers for LLMs in Medical/Healthcare
[MedIA Journal] An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)
A collection of papers about Transformer in the field of medical image analysis.
📄 🤖 Semantic search and workflows for medical/scientific papers
Arena-Hard-Auto: An automatic LLM benchmark.
A list of papers on Federated Deep Learning in Healthcare, in particular, algorithms Deep Learning with Medical Imaging.
Deep Learning Papers on Medical Image Analysis
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
End-to-end Python CT volume preprocessing pipeline to convert raw DICOMs into clean 3D numpy arrays for ML. From paper Draelos et al. "Machine-Learning-Based Multiple Abnormality Prediction with La…
A simple script for login to https://net2.sharif.edu/ from terminal
VIP cheatsheets for Stanford's CS 229 Machine Learning