Wyatt Makedonski's starred repositories
cs-video-courses
List of Computer Science courses with video lectures.
awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
applied-ml
đź“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
approachingalmost
Approaching (Almost) Any Machine Learning Problem
awesome-artificial-intelligence-guidelines
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
rl-testbed-for-energyplus
Reinforcement Learning Testbed for Power Consumption Optimization using EnergyPlus
DRL-for-microgrid-energy-management
We study the performance of various deep reinforcement learning algorithms for the problem of microgrid’s energy management system. We propose a novel microgrid model that consists of a wind turbine generator, an energy storage system, a population of thermostatically controlled loads, a population of price-responsive loads, and a connection to the main grid. The proposed energy management system is designed to coordinate between the different sources of flexibility by defining the priority resources, the direct demand control signals and the electricity prices. Seven deep reinforcement learning algorithms are implemented and empirically compared in this paper. The numerical results show a significant difference between the different deep reinforcement learning algorithms in their ability to converge to optimal policies. By adding an experience replay and a second semi-deterministic training phase to the well-known Asynchronous advantage actor critic algorithm, we achieved considerably better performance and converged to superior policies in terms of energy efficiency and economic value.
settlers_of_catan_RL
Learning to play Settlers of Catan with Deep RL - custom training environment and implementation of PPO
tesla_powerwall
Python API for Tesla Powerwall
HandTracker
Detect 3d hand landmark from video stream.
fsdl-text-recognizer
Repo that generates https://github.com/full-stack-deep-learning/fsdl-text-recognizer-project
adversarially-guided-actor-critic
AGAC: Adversarially Guided Actor-Critic
Forecasting-Weather-with-Neural-Prophet
A jupyter notebook showcasing how to forecast temperature using Neural Prophet.
JADE-DR-VPP
Software for the use of Multi-agent Systems in Virtual Power Plants to realize Demand Response Mechanisms
Full_Body_Pose
Media Pipe Full Body Pose Example with framework