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The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks
Primal-Dual Policy Learning Simple Example
Curated list of project-based tutorials
Solving the Rubik's cube with deep reinforcement learning and Monte Carlo tree search
Useful Toolbox for Anomaly Detection
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Pytorch Implementation of RL algorithms
pyTranscriber can be used to generate automatic transcription / automatic subtitles for audio/video files through a friendly graphical user interface.
Removing people from complex backgrounds in real time using TensorFlow.js in the web browser
Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments
Solutions of Reinforcement Learning, An Introduction
Python Implementation of Reinforcement Learning: An Introduction
Reinforcement Learning at UCLA IPAM RIPS 2018
Implementations of Reinforcement Learning and Planning algorithms
Reinforcement Learning paper review study
Safe Exploration with MPC and Gaussian process models
Implementing a self driving car using a 3D Driving Simulator. CNN will be used for training
A self-driving car simulator built with Unity
Be Driven 🚘
Next-Gen GUI-based WiFi and Bluetooth Analyzer for Linux
A virtual self driving car powered by Unity and Machine Learning.
Code for ICML 2017 paper, SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
This repository contains the code for the case studies in the paper "Verification and Control for Finite-Time Safety of Stochastic Systems via Barrier Functions" (CCTA 2019) and "A Barrier Function Approach to Finite-Time StochasticSystem Verification and Control" (in submission)
Code Files for the Udemy Course: The Complete Neural Networks Bootcamp: Theory, Applications
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.