Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.

A multi-package for HVAC engineering written in Python.

Repo for the Deep Reinforcement Learning Nanodegree program

An end-to-end Machine Learning project from writing a Jupyter notebook to check the viability of the solution, to breaking down the same into modular code, creating a Flask web app integrated with …

A repository for implementation of deep reinforcement learning lectured at Samsung

This is the official code of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem'

A pytorch tutorial for DRL(Deep Reinforcement Learning)

Deep reinforcement learning based energy management strategy for hybrid electric vehicle

Repository for codes of 'Deep Reinforcement Learning'

Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arXiv:1802.04240 (2018).

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

Implementation of popular ML algorithms from scratch

Python basics for machine learning

How to Apply Reinforcement Learning to Solve Real-World Problems

Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

Machine Learning in Asset Management (by @firmai)

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

research and implementations of Deep RL agents and their applications

Collection of Python code that solves the Gymnasium Reinforcement Learning environments, along with YouTube tutorials.

Utilize the new EnergyPlus 9.6 python API, the project runs multi-threading EnergyPlus models and exchange data at each timesteps.

Energym is an open source building simulation library designed to test climate control and energy management strategies on buildings in a systematic and reproducible way.

EPlusInterface - A text based interface for energyplus

Gym environment for building simulation and control using reinforcement learning

Simple EnergyPlus environments for control optimization using reinforcement learning

Python: using OpenStudio Bindings, EnergyPlus API, and matplotlib

A package to work with EnergyPlus in python

Reinforcement Learning Testbed for Power Consumption Optimization using EnergyPlus