jeonggwan.lee's repositories
.tmux
🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️
academic_site_workshop
Part of the Academic Website Workshop
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
EN-FR-MLT-tensorflow
English-French Machine Language Translation in Tensorflow
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
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
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
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.