635 Open source projects that are alternatives of or similar to Acis

Resources to learn more about Machine Learning and Artificial Intelligence

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.

Cornell Instruction Following Framework

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

A collection of machine learning examples and tutorials.

​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

PyTorch training/tool code for Polygon-RNN++ (CVPR 2018)

backtrader with DRL ( Deep Reinforcement Learning)

Quiz & Assignment of Coursera

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

Reinforcement learning environments with musculoskeletal models

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

TensorFlow and Deep Learning Tutorials

Flappy Bird hack using Reinforcement Learning

Solutions of Reinforcement Learning, An Introduction

My experimentations with Reinforcement Learning in Pytorch

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

Official and maintained implementation of the paper Attention-Based Transformers for Instance Segmentation of Cells in Microstructures [BIBM 2020].

Deep Reinforcement Learning For Sequence to Sequence Models

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

Gibson Environments: Real-World Perception for Embodied Agents

A plugin for GTAV that transforms it into a vision-based self-driving car research environment.

🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)

MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

This repository features game simulations as machine learning environments to experiment with deep learning approaches such as deep reinforcement learning inside of Unity.

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

A gym environment for Stuart Armstrong's model of a treacherous turn.

Scalable, event-driven, deep-learning-friendly backtesting library

Advanced Deep Learning with Keras, published by Packt

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

Simulation of spiking neural networks (SNNs) using PyTorch.

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Implementation of Scheduled Policy Optimization for task-oriented language grouding

Deep Reinforcement Learning with pytorch & visdom

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

StarCraft II - pysc2 Deep Reinforcement Learning Examples

Convert sc2 environment to gym-atari and play some mini-games

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

Codebase for the Summary Loop paper at ACL2020

Trax — Deep Learning with Clear Code and Speed

Aim — a super-easy way to record, search and compare 1000s of ML training runs

Inference Code for Polygon-RNN++ (CVPR 2018)

Reinforcement Learning Assignment: Easy21

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

A minimalist environment for decision-making in autonomous driving

The Machine Learning Toybox for testing the behavior of autonomous agents.

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

Reinforcement Learning Algorithms

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

ChainerRL is a deep reinforcement learning library built on top of Chainer.

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction