255 Open source projects that are alternatives of or similar to onn

The Verifiably Safe Reinforcement Learning Framework

Python implementation of POMDP framework and PBVI & POMCP algorithms.

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Implementing a RL algorithm based upon a partially observable Markov decision process.

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

🔥 OpenPose api wrapper in PyTorch.

A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments

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ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

A toolbox with the goal of speeding up research on bargaining in MARL (cooperation problems in MARL).

A curated list of awesome reinforcement courses, video lectures, books, library and many more.

(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

pyrff: Python implementation of random fourier feature approximations for gaussian processes

A model car learns driving along a track using reinforcement learning

Reinforcement Learning algorithm's using google-colab

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

Code for CheXpert Challenge 2019 Top 1 && Top 2 solution

NMA deep learning course

Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.

Reinforcement Learning in Vrep

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Comparison of bandit algorithms from the Reinforcement Learning bible.

An easy-to-use reinforcement learning library for research and education.

A Universal Deep Reinforcement Learning Framework

[InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang

Repo for the Deep Reinforcement Learning Nanodegree program

a delightful machine learning tool that allows you to train, test, and use models without writing code

This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀

Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)

Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)

Scalable Implementation of Neural Fictitous Self-Play

Combining deep learning and reinforcement learning.

Solving POMDP using Recurrent networks

PyTorch Implementation for Neural Graph Collaborative Filtering

xingtian is a componentized library for the development and verification of reinforcement learning algorithms

A curated list of awesome resources combining Transformers with Neural Architecture Search

Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.

The implementation of 3D-UNet using PyTorch

Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3

Neuro-Symbolic Visual Question Answering on Sort-of-CLEVR using PyTorch

Solve BipedalWalkerHardcore-v2 with TD3

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

Solving board games like Connect4 using Deep Reinforcement Learning

Reinforcement learning algorithms

Pytorch Implementation of RL algorithms

Sparse modeling and Compressive sensing in Python

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

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A clean and lucid implementation of cycleGAN using PyTorch

Learning Continuous Control in Deep Reinforcement Learning

A PyTorch Implementation of Convolutional Conditional Neural Process.

Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

Automatic DNN compression tool with various model compression and neural architecture search techniques

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[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

Deep Reinforcement Learning Pong Agent, King Pong, he's the best

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.