457 Open source projects that are alternatives of or similar to rl-medical

Code repository for SARNet: Learning Multi-Agent Communication through Structured Attentive Reasoning (NeurIPS 2020)

A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)

Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"

We reproduced DeepMind's results and implement a meta-learning (MLSH) agent which can generalize across minigames.

A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.

Code for our CVPR-2021 paper on Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings.

Flappy Frog hack using Deep Reinforcement Learning (Deep Q-learning). 暴力膜蛤不可取。

Curso de Aprendizaje por Refuerzo, de 0 a 100 con notebooks y slides muy sencillas para entenderlo todo perfectamente.

🐵 An AI chess-board-game framework(by many programming languages) implementations.

High-speed Autonomous Drifting with Deep Reinforcement Learning

A tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"

No description or website provided.

A list of awesome resources on the application of machine learning in healthcare

[ICRA 2021] Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning

This mighty little deck of cards will change your health habits.

Java library to map LOINC-encoded test results to Human Phenotype Ontology

PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)

An out-of-the-box GUI tool for offline deep reinforcement learning

Deep reinforcement learning with tensorflow2

R interface to the HealthData.gov Data API

This repository is deprecated and has not been maintained for months!

No description or website provided.

Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

🏥 OpenMRS Radiology Module

A Real-Time-Strategy game for Deep Learning research

Booklet and exam of Artificial Intelligence Master Degree at Amirkabir University of technology.

With underflow, create trafic light clusters that interact together to regulate circulation

Healthcare example application built with NativeScript Angular. NativeScript template to quickly prototype your own business idea.

Using AI to figure out cancer

Reinforcement Learning Demos

Pneumonia Detection using machine learning - with PyTorch

A demo of a nurse scheduling model

Official implementation of the paper "Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning Algorithms": https://arxiv.org/abs/1909.01779 To appear at the next NeurIPS2019 DRL-Workshop

source code for 'Improving automatic source code summarization via deep reinforcement learning'

Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

Hierarchical-DQN in pytorch (not actively maintained)

A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.

AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning

使用深度强化学习解决视觉跟踪和视觉导航问题

Evaluating pre-trained navigation agents under corruptions

A DynamoDB implementation of the FHIR Works on AWS framework, enabling users to complete CRUD operations on FHIR resources

A set of minified (but still accurate) models for Dlib

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.

Robust client registry for individuals receiving mental healthcare services.

Develop ultimate AI Pokémon trainer

Lightweight deep RL Libraray for continuous control.

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

Cloud-native Financial Reinforcement Learning

Deep Reinforcement Learning for Robotic Grasping from Octrees

A high-level framework for advanced deep learning with TensorFlow

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

Eagerly Experimentable!!!

End to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo

I developed this android application to help beginner developers to know how to use Google Maps API and how to convert JSON data into Java Object.

Composer starter project for Ambulatory.

ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)

DICOM Adapter is a component of the Clara Deploy SDK which facilitates integration with DICOM compliant systems, enables ingestion of imaging data, helps triggering of jobs with configurable rules and offers pushing the output of jobs to PACS systems.