Taewoo-Kang

Taewoo-Kang's Stars

• cpp-best-practices/cppbestpractices

  Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.

  8.1k884

• yadvendra20/STL-Implementation

  Some of the containers and algorithmic functions from STL(Standard Template Library) are implemented generically using C++

  Language:C++124

• jk96491/SMAC

  StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIX

  Language:Python6720

• starry-sky6688/MARL-Algorithms

  Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

  Language:Python1.5k283

• kyunghoon-jung/RL_implementation

  RL Implementation

  Language:Jupyter Notebook19

• PINTO0309/PINTO_model_zoo

  A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

  Language:Python3.6k572

• JaeYeopHan/Interview_Question_for_Beginner

  :boy: :girl: Technical-Interview guidelines written for those who started studying programming. I wish you all the best. :space_invader:

  19.7k4.6k

• wh2per/Programmers-Algorithm

  프로그래머스 C++ Python3 풀이

  Language:C++214

• nolboo/nolboo.github.io

  Learn to do. Learn by doing.

  Language:CSS34048

• mlab-upenn/f1tenthpublic

  Language:Python7041

• Autonomous-Racing-PG/ar-tu-do

  ROS & Gazebo project for 1/10th scale self-driving race cars

  Language:C++8936

• xkiwilabs/DQN-using-PyTorch-and-ML-Agents

  A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment

  Language:Python9117

• vmelan/DRLND-udacity

  Deep Reinforcement Learning Nanodegree program from Udacity

  Language:Jupyter Notebook1014

• dalmia/udacity-deep-reinforcement-learning

  My solutions to the projects (and mini-projects) of the Deep Reinforcement Learning Nanodegree by Udacity

  Language:Jupyter Notebook6338

• udacity/deep-learning-v2-pytorch

  Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

  Language:Jupyter Notebook5.3k5.3k

• dusty-nv/jetson-reinforcement

  Deep reinforcement learning GPU libraries for NVIDIA Jetson TX1/TX2 with PyTorch, OpenAI Gym, and Gazebo robotics simulator.

  Language:C++882224

• DeepGraphLearning/LiteratureDL4Graph

  A comprehensive collection of recent papers on graph deep learning

  3.1k565

• tensorflow/agents

  TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

  Language:Python2.8k721

• inoryy/reaver

  Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

  Language:Python55590

• arnomoonens/yarll

  Combining deep learning and reinforcement learning.

  Language:Python8128

• ChintanTrivedi/DeepGamingAI_FIFARL

  Using Reinforcement Learning to play FIFA

  Language:Python28070

• Joliezyx/causal_pathway_training

  Identify the causality for air pollution in China (North China, Yangtze River Delta, and Pearl River Delta)

  Language:MATLAB158

• PetarV-/GAT

  Graph Attention Networks (https://arxiv.org/abs/1710.10903)

  Language:Python3.2k645

• TrustAGI-Lab/Awesome-Graph-Neural-Networks

  Paper Lists for Graph Neural Networks

  2.2k386

• jayparks/tf-seq2seq

  Sequence to sequence learning using TensorFlow.

  Language:Python392109

• guillaume-chevalier/Awesome-Deep-Learning-Resources

  Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

  1.7k292

• xueyouluo/my_seq2seq

  My seq2seq based on tensorflow

  Language:Python6921

• eriklindernoren/ML-From-Scratch

  Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

  Language:Python24k4.6k

• openai/gym

  A toolkit for developing and comparing reinforcement learning algorithms.

  Language:Python34.7k8.6k

• udacity/deep-reinforcement-learning

  Repo for the Deep Reinforcement Learning Nanodegree program

  Language:Jupyter Notebook4.9k2.3k