966 Open source projects that are alternatives of or similar to Vel

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

TensorFlow and Deep Learning Tutorials

A curated list of dedicated resources and applications

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

Simple and comprehensive tutorials in TensorFlow

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Repository for most of the code from my YouTube channel

Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Check out the new game server:

playing idealized trading games with deep reinforcement learning

A fast Evolution Strategy implementation in Python

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[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

RL Notation and Pseudocode for Udacity's MLND program

Accelerated deep learning R&D

Machine Learning notebooks for refreshing concepts.

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

ns3-gym - The Playground for Reinforcement Learning in Networking Research

Input Convex Neural Networks

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

Implementation of algorithms for continuous control (DDPG and NAF).

A student implementation of Alpha Go Zero

Framework for Multi-Agent Deep Reinforcement Learning in Poker

Free Resources For Data Science created by Shubham Kumar

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Machine learning algorithms for many-body quantum systems

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

A collection of multi agent environments based on OpenAI gym.

This is a simple implementation of DeepMind's PySC2 RL agents.

Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments

Build environment and train a robot arm from scratch (Reinforcement Learning)

Bayesian Reinforcement Learning in Tensorflow

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

Reinforcement Learning in Go

A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.

Framework and OpenAI Gym Environment for Autonomous Vehicle Development

Keras implementation of Non-local Neural Networks

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Classic papers and resources on recommendation

Deep Learning and deep reinforcement learning research papers and some codes

PyTorch Implementation of REINFORCE for both discrete & continuous control

A life simulation for exploring social dynamics

Reinforcement learning with A* and a deep heuristic

《Reinforcement Learning: An Introduction》（第二版）中文翻译

A universal flight control tuning framework

我的强化学习笔记和学习材料📖 still updating ... ...

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.

中国象棋alpha zero程序

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

An environment to high-frequency trading agents under reinforcement learning

Meandering In Networks of Entities to Reach Verisimilar Answers