1153 Open source projects that are alternatives of or similar to Doom Net Pytorch

Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090

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

📚Curated list of articles, web-resources, tutorials and code repositories that may help you dig a little bit deeper into iOS [and Apple Platforms].

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

outis is a custom Remote Administration Tool (RAT) or something like that. It was build to support various transport methods (like DNS) and platforms (like Powershell).

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

自己随手记录的东西

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.

An example and guide to getting started with Jekyll and static site generators.

Highly Modular and Scalable Reinforcement Learning

All of the code for my Medium articles

A collection of resources that should help and guide your first steps as you learn ML and DL. I am a beginner as well, and these are the resources I found most useful.

Proximal Policy Optimization implementation with TensorFlow

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

Using RGB Image as Visual Input for Mapless Robot Navigation

This is a Platform that collects all the data accuring in your Application and shows the data in real time by using Kibana or other tools.

강화학습에 대한 기본적인 알고리즘 구현

60_Days_RL_Challenge中文版

A Platform for Many-agent Reinforcement Learning

A curated list of code katas

DOOM: BFA (Big Freaking Anniversary) Edition (former Classic RBDoom 3 BFG) is a source port based on RBDOOM-3-BFG and enchance the experience of Ultimate DOOM, DOOM 2 and DOOM 3.

My Solution to Assignments of CS234

Implementation of EMNLP 2017 Paper "Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog" using PyTorch and ParlAI

A framework using TensorFlow.js for Deep Reinforcement Learning

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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

OCS Inventory NG Agent for Windows

Grid2Op a testbed platform to model sequential decision making in power systems.

Safe Bayesian Optimization

Awesome resources for coding and learning: open source projects, websites, books e.g.

UPDATE: This project is no longer maintained. Please check out Glitch.com instead.

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Simple tools for logging and visualizing, loading and training

Deck of Anki flashcards for the LPIC-1 (Linux System Administrator) exams 101 and 102 of the Linux Professional Institute (LPI).

An organized learning path about Clean Code, Test-Driven Development, Legacy Code, Refactoring, Domain-Driven Design and Microservice Architecture

A working implementation of the Categorical DQN (Distributional RL).

Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action

course materials for introduction to deep learning 2020

Duolingo of Technology

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

Conectando pessoas que desejam aprender com pessoas que tiram os obstáculos do caminho

D Language online tour (https://tour.dlang.org/) and online editor (https://run.dlang.io/)

JVM Profiler Sending Metrics to Kafka, Console Output or Custom Reporter

Master Thesis: Limit order placement with Reinforcement Learning

🤖 Places where you can learn robotics (and stuff like that) online 🤖

The Hitchhiker's Guide to Compression

Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung

Code and projects from my blog posts.

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.）

Rocket powered machine learning. Create, compare, adapt, improve - artificial intelligence at the speed of thought.

Service Objects for Crystal (Agents, Artists, Supervisors, Pools, ...)

💻 command-line bootcamp adventure in your browser

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

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

Repository to accompany RSS 2018 paper on dexterous hand manipulation

MAGNet: Multi-agents control using Graph Neural Networks

Solving OpenAI Gym problems.

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

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

We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.