Seokin Seo's repositories
stable-baselines3-contrib
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
AwesomeMRC
This repo is our research summary and playground for MRC. More features are coming.
CQL
Code for conservative Q-learning
deeprl_practice_colab
Preparation for Deep Reinforcement Learning using Google Colab
DSTC10-SIMMC
Repository (preliminary codes) for DSTC10 SIMMC track.
FIVO_Gumbel
Pytorch implementation of the Variational Recurrent Neural Network (VRNN).
google-research
Google Research
korquad-open-cs492h
Korquad-Open Baseline Code for KAIST CS492H 2020 Spring
MC-LAVE-RL
ICLR 2021: "Monte-Carlo Planning and Learning with Language Action Value Estimates"
minirts
We release dataset collected for our research, code that implement neural network models described in the paper, and scripts to reproduce all of our results, and visualization tool for visualize dataset.
moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
SASRec.pytorch
PyTorch(1.6+) implementation of https://github.com/kang205/SASRec
shap
A unified approach to explain the output of any machine learning model.
softlearning
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.