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One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
Pythonic AI generation of images and videos
A playbook for systematically maximizing the performance of deep learning models.
Learning Convolutional Neural Networks with Interactive Visualization.
Open source tools for computational pathology - Nature BME
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
A Python toolkit for pathology image analysis algorithms.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Techniques for deep learning with satellite & aerial imagery
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
MONAI Label is an intelligent open source image labeling and learning tool.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Image augmentation for machine learning experiments.
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
[TPAMI 2023] Multimodal Image Synthesis and Editing: The Generative AI Era
QuPath - Open-source bioimage analysis for research
PAthological QUpath Obsession - QuPath and Python conversations
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
A curated list of awesome computer vision resources