1198 Open source projects that are alternatives of or similar to Bindsnet

Framework and OpenAI Gym Environment for Autonomous Vehicle Development

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

👤 Multi-Armed Bandit Algorithms Library (MAB) 👮

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

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

Pythonic particle-based (super-droplet) warm-rain/aqueous-chemistry cloud microphysics package with box, parcel & 1D/2D prescribed-flow examples in Python, Julia and Matlab

Reinforcement learning algorithms for MuJoCo tasks

This is a dynamic simulation for quadrotor UAV

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

Repository to accompany RSS 2018 paper on dexterous hand manipulation

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

Simple 3D interior simulator for RL & robotics research

Maze Applied Reinforcement Learning Framework

A curated list of awesome links and software libraries that are useful for robots.

Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration

Trait-Driven Models of Ecology and Evolution 🌲

PGDrive: an open-ended driving simulator with infinite scenes from procedural generation

An environment to high-frequency trading agents under reinforcement learning

Multi-device OpenCL kernel load balancer and pipeliner API for C#. Uses shared-distributed memory model to keep GPUs updated fast while using same kernel on all devices(for simplicity).

A Configurable Recommender Systems Simulation Platform

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

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

Pyncov-19: Learn and predict the spread of COVID-19

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

Linux LD_PRELOAD rootkit (x86 and x86_64 architectures)

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

A fast, versatile and user-friendly landscape evolution model

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Fast Clojure Matrix Library

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

DITRAS (DIary-based TRAjectory Simulator), a mathematical model to simulate human mobility

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

A work-in-progress, open-source, multi-player city simulation game.

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

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

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

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

OpenMM is a toolkit for molecular simulation using high performance GPU code.

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

backtrader with DRL ( Deep Reinforcement Learning)

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

Quiz & Assignment of Coursera

专注于分享算法，计算机基础（包括计算机网络，操作系统，MySQL等），无论是应付面试，还是提升自己地内功，这里都能帮到你

Start-to-end photon experiment simulation platform

Shadow is a unique discrete-event network simulator that runs real applications like Tor, and distributed systems of thousands of nodes on a single machine. Shadow combines the accuracy of emulation with the efficiency and control of simulation, achieving the best of both approaches.

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

Codebase for the Summary Loop paper at ACL2020

2D Material Point Method

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

My experimentations with Reinforcement Learning in Pytorch

Resources to learn more about Machine Learning and Artificial Intelligence

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

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

Reinforcement learning environments with musculoskeletal models

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

Cornell Instruction Following Framework

Simulate metagenomic short reads from one or more populations.

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学