yongjin-shin

awesome-active-learning

Awesome Active Learning Paper List

rl_torch

Repository for RL code practicing

DevOps-Roadmap

DevOps Roadmap for 2022. with learning resources

Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

Tools to Design or Visualize Architecture of Neural Network

awesome-efficient-computer-vision

fewer

Hello World

homework

Assignments for CS294-112.

yongjin-shin.github.io

awesome-agriculture

List of project ideas/references which can help engineers build technology for agriculture which can eventually help farmers

awesome-agriculture-1

Open source technology for agriculture, farming, and gardening

CEAOS

CEA Open Simulator

code_test

Preparing for the code test

Data

CEA Open Data

Greenhouses-Library

The Greenhouse Modelica Library aims at providing a fully open-source modeling framework for the simulation of greenhouse climate, crop yield and the energy integration of greenhouses with thermal systems (e.g. generation units, thermal storage units, district heating networks, etc.).

GreenLight

A model for simulating the indoor climate and energy use of greenhouses with supplemental lighting

how_to_study_rl

강화학습을 공부하고 싶은 분들을 위한 글

IE801

KAIST ISYSE Game Theory with Engineering Applications

Literature

ma-gym

A collection of multi agent environments based on OpenAI gym.

MAAC

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

MAgent

A Platform for Many-agent Reinforcement Learning

mapr2

Optimization-on-Stiefel-Manifold-via-Cayley-Transform

Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform

pysc2

StarCraft II Learning Environment

spb-example

Examples for using the Superb AI Suite SDK, CLI and more

super-gradients

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

t2t_project

T2T and DPP

Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

VBC

pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"

VBC_test

VBC_test_ver