jeonggwanlee

LSTD-mu

Batch, Off-policy and Model-free Apprenticeship Learning(LSTD-mu, or BOMAP) with TF1.5

what_is_bleu_score

LSPI

Least-Squares Policy Iteration(LSPI) with TF1.5

.tmux

🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️

academic_site_workshop

Part of the Academic Website Workshop

Awesome-Chatbot

BERT_for_Korean_SRL

ConvLab

d2l-pytorch

This is an attempt to modify Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook's code into PyTorch.

Docker-Tutorial

매우 쉽고 간단한 docker 사용법 정리

DSTC8_track2

DSTC8_track2

effective-python

EN-FR-MLT-tensorflow

English-French Machine Language Translation in Tensorflow

jeonggwanlee.github.io

keras

Deep Learning for humans

ko_en_neural_machine_translation

Korean English NMT(Neural Machine Translation) with Gluon

korquad.github.io

Korean wiki QA dataset for MRC

MineDojo

Building Open-Ended Embodied Agents with Internet-Scale Knowledge

NeuralPipeline_DSTC8

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

pytorch_tutorial

pytorch tutorial

seq2seq_tutorial

n

simple_ppo

STEVE-1

STEVE-1: A Generative Model for Text-to-Behavior in Minecraft

Survey_of_Deep_Metric_Learning

A comprehensive survey of deep metric learning and related works

Thought-Cloning

[NeurIPS '23 Spotlight] Thought Cloning: Learning to Think while Acting by Imitating Human Thinking

varibad

Video-ChatGPT

"Video-ChatGPT" is a video conversation model capable of generating meaningful conversation about videos. It combines the capabilities of LLMs with a pretrained visual encoder adapted for spatiotemporal video representation. We also introduce a rigorous 'Quantitative Evaluation Benchmarking' for video-based conversational models.

VisionHW2