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This is a simple 1 dimensional Kalman Filter. The Aim of this project was to understand the basics of the Kalman Filter so I could move on to the Extended Kalman Filter.
🧑🏫 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, ... 🧠
code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)
Capture Screen, Audio, Cursor, Mouse Clicks and Keystrokes
《数据结构》-严蔚敏.吴伟民-教材源码与习题解析
Practice of Deep Reinforcement Learning with Keras and gym.
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Cooperative Multi-Agent Learning》
Modularized Implementation of Deep RL Algorithms in PyTorch
TensorFlow documentation
Re-produce DQN, REINFORCE, REINFORCE with baseline, one-step AC, QAC, QAC with shared network, PPO2, DDPG, TD3, SAC, SAC discrete,A2C,A3C
My DRL library with tensorflow1.14 based on openai spinning-up
This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.
DRLib:A concise deep reinforcement learning library, integrating HER and PER for almost off policy RL algos.
very easy implementation of dueling DQN in pytorch
Dueling DQN Pytorch
Implementation of Edge Computing papers.
An Industrial Grade Federated Learning Framework
A framework for implementing federated learning
Google Research
Assignments for CS294-112.
Keras implementations of Generative Adversarial Networks.
Smart NFC & ink-Display Card
Lightweight version of MAPPO to help you quickly migrate to your local environment.
My blogs and code for machine learning. http://cnblogs.com/pinard
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Repo containing code for multi-agent deep reinforcement learning (MADRL).
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.