- Seoul, South Korea
- https://jungi21cc.github.io/
Stars
hill-a / stable-baselines
Forked from openai/baselinesA fork of OpenAI Baselines, implementations of reinforcement learning algorithms
An enterprise-class UI design language and React UI library
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Code for "Fast Context Adaptation via Meta-Learning"
RSTutorials: A Curated List of Must-read Papers on Recommender System.
Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.
[파이썬과 케라스로 배우는 강화학습] 텐서플로우 2.0 개정판 예제
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
『밑바닥부터 시작하는 딥러닝 1(리마스터판)』(한빛미디어, 2025)
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
This repository contains the source code for the paper First Order Motion Model for Image Animation
TFX is an end-to-end platform for deploying production ML pipelines
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
ChainerRL is a deep reinforcement learning library built on top of Chainer.
This project is real-time visualization of a network recognizing digits from user's input.
FlatBuffers: Memory Efficient Serialization Library
Keras implementation of GRU4Rec session-based recommender system
PyTorch implementation of deep reinforcement learning algorithms
A Configurable Recommender Systems Simulation Platform
Ranking-Critical Training for Collaborative Filtering
A better notebook for Scala (and more)
Variational autoencoders for collaborative filtering
A PyTorch Platform for Distributed RL
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.