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

All of the code for my Medium articles

Sematext Agent for monitoring MongoDB

Vim 实操教程（Learning Vim）Vim practical tutorial.

Highly Modular and Scalable Reinforcement Learning

Codebase for the Summary Loop paper at ACL2020

Reinforcement Learning in JavaScript

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

Proximal Policy Optimization implementation with TensorFlow

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

An advanced program in Machine Learning and Deep Learning

backtrader with DRL ( Deep Reinforcement Learning)

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

An unofficial refreshed version of Scala Koans

Soluções para os desafios (por usuário)

A fun project to store my learning from each book that I read.

A Platform for Many-agent Reinforcement Learning

Repository for learning Kotlin Flow API

Short presentations about Rust syntax + concepts

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A curated list of code katas

A collection of Swift Property Wrappers (formerly "Property Delegates")

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

My Solution to Assignments of CS234

My experimentations with Reinforcement Learning in Pytorch

Machine learning and data science blog.

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

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

Abstraction Layers

本文原文是一篇来自Github上@bendc的6,539星的文章,在此声明，原作者保有所有权利，本文仅供技术探讨学习。

Data-centric declarative deep learning framework

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

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

☁️ My journey learning Amazon Web Services

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

OCS Inventory NG Agent for Windows

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

This is the official implementation of Multi-Agent PPO.

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

Safe Bayesian Optimization

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

Generic Mac OS X menu bar app (agent) template

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

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

tensorflow deep RL for driving a rover around

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

A tiny list limited to the best CSS Learning Resources

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

Kottans frontend course 🎓

This is the OCS unified agent for Unix operating systems

TensorFlow and Deep Learning Tutorials

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

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

Machine learning, in numpy

Reinforcement Learning Cheat Sheet

SeqGAN tensorflow implementation

Makine Öğrenmesi Türkçe Kaynak

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

List of summer schools in machine learning + related fields across the globe

Artificial intelligence for the Snake game.

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.