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Accompanying repository for Let's make a DQN / A3C series.
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Attention based model for learning to solve different routing problems
This repository contains code example projects for the AURIX™ Development Studio.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Conference and Journal Paper Implementations
dag-gen-rnd: A randomized Multi-DAG task generator for scheduling and allocation research
C++ library to handle real-time DAG task and test several implemented schedulability methods from real-time literature
Random Directed Acyclic Graph Generator
Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51
Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, DQN, PPO, DDPG, TD3, SAC, ASL)
PyTorch implementations of deep reinforcement learning algorithms and environments
This is the official code for the published paper 'Solve routing problems with a residual edge-graph attention neural network'
Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning
强化学习中文教程(蘑菇书),在线阅读地址:https://datawhalechina.github.io/easy-rl/
EDFVD Implementation for FREERTOS
Analysis of mixed criticality schedulers for resource constraint systems
This code would execute the EDF VD Scheduling Algorithm for mixed criticality systems as described in the paper "Mixed-Criticality Scheduling of Sporadic Task Systems " by Sanjoy Baruah, Vincenzo Bonifaci, Gianlorenzo d’Angelo, Alberto Marchetti-Spaccamela, Suzanne Ster, Leen Stougi
Massively Parallel Deep Reinforcement Learning. 🔥
This is the official code of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem'
The code will be available after our paper is accepted.
The code and data will be published after accepting our paper
Multi-Agent Deep Reinforcement Learning for Task Offloading in GDMSs
Mixed-Criticality DAG Framework
Evaluation of Mixed-Criticality Fluid Rate Assignment Algorithms
Deep reinforcement learning for mobile edge computing
The python code for paper "Multi-objective Deep Reinforcement Learning for Mobile Edge Computing"
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.