1006 Open source projects that are alternatives of or similar to Coach

this simple tutorial will introduce how to use im2rec for mx.image.ImageIter , ImageDetIter and how to use im2rec for COCO DataSet

Behavior Optimization and Learning for Robots

A simple interface to instantiate Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with Gym Env from OpenAI and MultiAgentEnv from RLlib.

Ranking made easy

A library for training and deploying machine learning models on Amazon SageMaker

Implementation of the Deep Q-learning algorithm to solve MDPs

Insightface face detection and recognition model that just works out of the box.

Play flappy bird with DQN, a demo for reinforcement learning, implemented using PyTorch

Connecting Torch to StarCraft

For deep RL and the future of AI.

Driving in CARLA using waypoint prediction and two-stage imitation learning

Reinforcement learning tutorials

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

TensorLy: Tensor Learning in Python.

A Python interface for reinforcement learning environments

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

mixup: Beyond Empirical Risk Minimization

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

This is the implementation of paper Model Free Episodic Control

Implementing reinforcement-learning algorithms for pysc2 -environment

Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"

Safe reinforcement learning with stability guarantees

Clone of OpenAI's Spinning Up in PyTorch

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

Gluon implementation of EfficientNet and EfficientNet-lite

Reinforcement Learning and Transfer Learning based StarCraft Micromanagement

Trading environnement for RL agents, backtesting and training.

ML.NET Workshop to predict car sales prices

Modular Probabilistic Programming on MXNet

Efficient Batched Reinforcement Learning in TensorFlow

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

Seoul AI Gym is a toolkit for developing AI algorithms.

An Implementation of Mnasnet with Pretrained Model

An open source framework for research in Embodied-AI from AI2.

Add-on package for ONNX format support in Chainer

Resources, papers, tutorials

State-of-the-art 2D and 3D Face Analysis Project

Teach a Quadcopter How to Fly!

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.

Reinforcement Learning Algorithms

A high-performance distributed training framework for Reinforcement Learning

ResNet benchmark by Keras(TensorFlow), Keras(MXNet), Chainer, PyTorch using Google Colab

A Python3 NES emulator and OpenAI Gym interface

Flappy Bird hack using Reinforcement Learning

Deep Reinforcement Learning (DRL) agents applied to medical images

60_Days_RL_Challenge中文版

TensorFlow Tutorials with YouTube Videos

A minimal C implementation of Nintendo Gameboy - An fast research environment for Reinforcement Learning

Code for Java Deep Learning Cookbook

AI斗地主

Neural architecture search(NAS)

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

《深度学习与计算机视觉》配套代码

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

Artificial intelligence for the Snake game.

人工智能论文关键点集结。This project aims to collect key points of AI papers.

Complete-Life-Cycle-of-a-Data-Science-Project

The templated deep learning framework, enabling framework-agnostic functions, layers and libraries.