815 Open source projects that are alternatives of or similar to My_bibliography_for_research_on_autonomous_driving

Advanced Deep Learning with Keras, published by Packt

Connecting Torch to StarCraft

Implementation of Scheduled Policy Optimization for task-oriented language grouding

A PyTorch Library for Reinforcement Learning Research

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

SeqGAN tensorflow implementation

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

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

Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors

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

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

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

Artificial Intelligence Learning Notes.

List of papers, code and experiments using deep learning for time series forecasting

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

Tanker client-side encryption SDK for JavaScript

Safe reinforcement learning with stability guarantees

Quiz & Assignment of Coursera

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.

Resources to learn more about Machine Learning and Artificial Intelligence

A Trading environment base on Gym

Reinforcement learning environments with musculoskeletal models

Proximal Policy Optimization implementation with TensorFlow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

command line neural network

TensorFlow and Deep Learning Tutorials

A Platform for Many-agent Reinforcement Learning

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

This is Andrew NG Coursera Handwritten Notes.

User Simulation for Task-Completion Dialogues

My Solution to Assignments of CS234

Solutions of Reinforcement Learning, An Introduction

Learning to Learn how to Learn: Self-Adaptive Visual Navigation using Meta-Learning (https://arxiv.org/abs/1812.00971)

RNN based Time-series Anomaly detector model implemented in Pytorch.

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

A collection of machine learning examples and tutorials.

Features a Networking Framework to be used on top of Unity Networking, in order to implement an Authoritative Server with Lag Compensation, Client-Side Prediction/Server Reconciliation and Entity Interpolation

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

Safe Bayesian Optimization

Deep Reinforcement Learning For Sequence to Sequence Models

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

Facebook AI Research's Automatic Speech Recognition Toolkit

Simple tools for logging and visualizing, loading and training

Gibson Environments: Real-World Perception for Embodied Agents

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition.

My Reading Lists of Deep Learning and Natural Language Processing

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)

🃏 OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning

A structured implementation of MuZero

The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.

PyTorch implementation of Looking Fast and Slow: Memory-Guided Mobile Video Object Detection

Discovering known and novel miRNAs from small RNA sequencing data

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

Reinforcement Learning in JavaScript

AI各领域学习资料整理。（A collection of all skills and knowledges should be got command of to obtain an AI relevant job offer. There are online blogs, my personal blogs, electronic books copy.）

Implementation for the Neural Logic Machines (NLM).