Git Product home page Git Product logo

windyasd's Projects

agents icon agents

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bayesianneuralnetwork-tutorial-metarepos icon bayesianneuralnetwork-tutorial-metarepos

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"

chatgptbook icon chatgptbook

《ChatGPT原理与实战:大型语言模型的算法、技术和私有化》

deeprl icon deeprl

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

ganhacks icon ganhacks

starter from "How to Train a GAN?" at NIPS2016

geatpy icon geatpy

Evolutionary algorithm toolbox and framework with high performance for Python

grid2op icon grid2op

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

grid2viz icon grid2viz

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.

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

l2rpn-baselines icon l2rpn-baselines

L2RPN Baselines a repository to host baselines for l2rpn competitions.

lightsim2grid icon lightsim2grid

LightSim2grid implements a c++ backend targeting the Grid2Op (https://github.com/rte-rance/grid2op) platform.

mcts-dpw icon mcts-dpw

Implementation of SPW and DPW for Monte Carlo Tree Search in Continuous action/state space

pandapower icon pandapower

Convenient Power System Modelling and Analysis based on PYPOWER and pandas

parl icon parl

A high-performance distributed training framework for Reinforcement Learning

probabislitc-deep-learning icon probabislitc-deep-learning

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.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.