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TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
A DCGAN to generate anime faces using custom mined dataset
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Bayesian Neural Networks - A Tutorial for Deep Learning Users"
《ChatGPT原理与实战:大型语言模型的算法、技术和私有化》
PyTorch implementations of deep reinforcement learning algorithms and environments
Hands-on Deep Reinforcement Learning, published by Packt
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
屠龙勇士系统
starter from "How to Train a GAN?" at NIPS2016
Evolutionary algorithm toolbox and framework with high performance for Python
Grid2Op a testbed platform to model sequential decision making in power systems.
This repository is a tool for visualizing an agent RL process from a grid2op format. It was made though a partnership between RTE and Artelys for the different challengers of the L2RPN RL Challenge.
A toolkit for developing and comparing reinforcement learning algorithms.
My first step
L2RPN Baselines a repository to host baselines for l2rpn competitions.
This is a solution for L2RPN_NIPS_Competitions_2020, and it wins 2nd prize.
学习李宏毅老师MLDS18中的GAN部分
LightSim2grid implements a c++ backend targeting the Grid2Op (https://github.com/rte-rance/grid2op) platform.
机器学习中深度学习、强化学习、监督学习、集成学习相关的影印版pdf书籍
My blogs and code for machine learning. http://cnblogs.com/pinard
Implementation of SPW and DPW for Monte Carlo Tree Search in Continuous action/state space
小米帐号开放平台 Android SDK
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
A high-performance distributed training framework for Reinforcement Learning
第一个软件
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Exploration of TensorFlow-2 and TensorFlow probability to implement Bayesian Neural Networks, Normalizing flows, real NVPs and Autoencoders. Exploration of Bayesian Modelling and Variational Inference with Pyro.
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.