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algorithms-

All Algorithms implemented in Python

aswahd.github.io

awesome-healthcare-foundation-models

awesome-segment-anything-extensions

Segment-anything related awesome extensions/projects/repos.

ddpm-cifar10

This repository implements DDPM using UNet for conditional sampling.

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

diffusion-image-captioning

diffusion-nbs

Getting started with diffusion

dino

[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

ebmood

ebms_3dod

Official implementation of "Accurate 3D Object Detection using Energy-Based Models", CVPR Workshops 2021.

ebms_regression

Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model for Regression" (BMVC 2020).

fastdlo

Implementation of the paper "FASTDLO: Fast Deformable Linear Objects Instance Segmentation", Robotics and Automation Letters & IROS 2022

featup

Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024

generativemodels

MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications

gibbs-jem

Code for the paper "Directly Training Joint Energy-Based Models for Conditional Synthesis and Calibrated Prediction of Multi-Attribute Data"

hrnet-semantic-segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

improvementdeepaffinitynetwork-

informative-outlier-mining

We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness of OOD detection to various types of adversarial OOD inputs and establishes state-of-the-art performance.

irregular-shape-instance-segmentation-ishape

Unofficial implementation of Irregular Shape Instance Segmentation (iShape) (https://arxiv.org/abs/2109.15068)

jepa

PyTorch code and models for V-JEPA self-supervised learning from video.

lace

A new play-and-plug method of controlling an existing generative model with conditioning attributes and their compositions.

laddervae

This repository implements Conditional Gaussian Learning for Open Set Recognition [arxiv.org/abs/2003.08823].

mmvae

Multimodal Mixture-of-Experts VAE

monai

AI Toolkit for Healthcare Imaging

obsidian-latex-suite

Make typesetting LaTeX as fast as handwriting through snippets, text expansion, and editor enhancements

probabilistic-unet-pytorch

project-based-learning

Curated list of project-based tutorials

public-apis

A collective list of free APIs

radstract

Radstract provides a range of helper functions for working with Medical Data and analysis methods with that data.