jongkook-heo Goto Github PK
Name: Jong-Kook Heo
Type: User
Company: Korea University
Bio: Ph.D. Student(Korea Univ) Industrial and Management Engineering
Location: Seoul
Name: Jong-Kook Heo
Type: User
Company: Korea University
Bio: Ph.D. Student(Korea Univ) Industrial and Management Engineering
Location: Seoul
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
A toolkit for developing and comparing reinforcement learning algorithms.
Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)
CNN Architectures Implementation
Continual Learning tutorials and demo running on Google Colaboratory.
Train or evolve controllable and diverse level-generators.
PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.
Python Web Crawler with BeautifulSoup and Selenium
A pytorch tutorial for DRL(Deep Reinforcement Learning)
TensorFlow Basic Tutorial Labs
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.
A library for graph deep learning research
Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)
DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN
This project is a reimplementation of the models introduced in the following papers: "Multiobjective de novo drug design with recurrent neural networks and nondominated sorting", "REINVENT 2.0: An AI Tool for De Novo Drug Design", "Hierarchical generation of molecular graphs using structural motifs", "Mol-CycleGAN: a generative model for molecular optimization", "Multi-objective de novo drug design with conditional graph generative model" and "Graph convolutional policy network for goal-directed molecular graph generation".
Implements the Equivalent-Policy Invariant Comparison (EPIC) distance for reward functions.
An implementation of EWC with PyTorch
Faster RCNN with PyTorch
Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
Platform for designing and evaluating Graph Neural Networks (GNN)
A package for "Procedural Content Generation via Reinforcement Learning" OpenAI Gym interface.
This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.