wyatty

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

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

OSX-KVM

Run macOS on QEMU/KVM. With OpenCore + Monterey + Ventura + Sonoma support now! Only commercial (paid) support is available now to avoid spammy issues. No Mac system is required.

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.

vision_transformer

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

approachingalmost

Approaching (Almost) Any Machine Learning Problem

rlpyt

Reinforcement Learning in PyTorch

uda

Unsupervised Data Augmentation (UDA)

awesome-artificial-intelligence-guidelines

This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

open_lth

A repository in preparation for open-sourcing lottery ticket hypothesis code.

maze

Maze Applied Reinforcement Learning Framework

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.

deep_ope

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.

SMAAC

This repo contains the code of "Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic".

FlexDRL

andes_gym

ANDES RL Environment for OpenAI Gym

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