1575 Open source projects that are alternatives of or similar to Outlace.github.io

Unity Machine Learning Agents Toolkit

Machine learning, in numpy

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

Monthly Series - Top 10 Machine Learning Articles

TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper

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

Grokking Deep Reinforcement Learning

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

RLgraph: Modular computation graphs for deep reinforcement learning

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Train an RL agent to localize actively (PyTorch)

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

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

How to use TensorLayer

A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Scalable Implementation of Deep CFR and Single Deep CFR

TensorFlow and Deep Learning Tutorials

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Machine Learning notebooks for refreshing concepts.

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Repo for the Deep Reinforcement Learning Nanodegree program

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

YerevaNN blog

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Deep Reinforcement Learning for Keras.

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.

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction

✍️科学尚未普及，这里是唯一能让我找到自己的人，人生这么短，需要做点什么，😝,如果你来了，就顺手给个 star ,欢迎Fork，谢谢!

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

Self driving cars using NEAT

Medium stories exporter to markdown/hugo articles.

Deep Learning over PyTorch

个人网站

Keras implementations of Generative Adversarial Networks.

fupengfei058's blog

Building static website with hugo - https://jimmysong.io/hugo-handbook

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

Research code need not be ugly.

✏️ 记录技术 写在 Issues 里 喜欢请 star 鼓励一下

Code for reproducing experiments in Model-Based Active Exploration, ICML 2019

A Multi-agent Learning Framework

Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH

An open-source platform for automating tasks using machine learning models

A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.

Augmenting word embeddings with their surrounding context using bidirectional RNN

My personal blog Microdust

next-theme博客园论文主题

static blog generator for my blog at https://zupzup.org/

Our NIPS 2017: Learning to Run source code

NodeJS & Angular4 Blog

Visualisations for Convolutional Neural Networks in Pytorch

Code for paper "End-to-End Reinforcement Learning for Automatic Taxonomy Induction", ACL 2018

Notes and comments about Deep Reinforcement Learning papers

Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.

青菜萝卜博客系统V2.0

Self-organizing maps in Go

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

simple neural network library in ANSI C