MONAI Tutorials

AI Toolkit for Healthcare Imaging

SOTA medical image segmentation methods based on various challenges

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Code for ISBI 2023 paper "Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation"

The official implementation of "Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification"

IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning

This repository contains the code used for the paper "Towards automated brain aneurysm detection in TOF-MRA: open data, weak labels, and anatomical knowledge "

Large Language Model Text Generation Inference

Metric depth estimation from a single image

A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Monocular, One-stage, Regression of Multiple 3D People and their 3D positions & trajectories in camera & global coordinates. ROMP[ICCV21], BEV[CVPR22], TRACE[CVPR2023]

A simple method to perform semi-supervised learning with limited data.

Repository for "Space-Time-Separable Graph Convolutional Network for Pose Forecasting" (ICCV 2021)

End-to-End Object Detection with Transformers

[CVPR 2022] SparseInst: Sparse Instance Activation for Real-Time Instance Segmentation

Simultaneous object detection and tracking using center points.

A toolkit for developing and comparing reinforcement learning algorithms.

Deep Planning Network: Control from pixels by latent planning with learned dynamics

State Space Models for Reinforcement Learning in Tensorflow

Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.

Learning Latent Dynamics for Planning from Pixels

DIAYN

Soft Actor-Critic

Collection of reinforcement learning algorithms