Pinned Repositories
100-NLP-interview-questions-by-Steve-nouri
2022JBNU_ML
ML HW
awesome-ai-websites
My personal tips for ai research
Awesome-SLM
Awesome-SLM: a curated list of Small Language Model
GNNPapers
Must-read papers on graph neural networks (GNN)
HGNN-pytorch
Human-Path-Prediction
State-of-the-art methods for human trajectory forecasting. Contains code for papers published at ECCV 2020 and ICCV 2021.
HyperGCN-pytorch
ml-experiment-template
This is repo for ml experiment template
Pneumonia-Detection
Pneumonia Detection with x-ray dataset
ro-ko's Repositories
ro-ko/Awesome-SLM
Awesome-SLM: a curated list of Small Language Model
ro-ko/awesome-ai-websites
My personal tips for ai research
ro-ko/ml-experiment-template
This is repo for ml experiment template
ro-ko/100-NLP-interview-questions-by-Steve-nouri
ro-ko/awesome_lists
Awesome Lists for Tenure-Track Assistant Professors and PhD students.
ro-ko/baekjun
백준풀이
ro-ko/ro-ko
My profile
ro-ko/AutoAct
[ACL 2024] AUTOACT: Automatic Agent Learning from Scratch for QA via Self-Planning
ro-ko/coursera-deep-learning-specialization
ro-ko/cs231n
Assignments
ro-ko/dcai-lab
Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽💻
ro-ko/direct-preference-optimization
Reference implementation for DPO (Direct Preference Optimization)
ro-ko/github-finder
ro-ko/Korean-PLM
List of Korean pre-trained language models.
ro-ko/LLM4Rec-Awesome-Papers
A list of awesome papers and resources of recommender system on large language model (LLM).
ro-ko/MultiTQ
MULTITQ is a large-scale dataset featuring ample relevant facts and multiple temporal granularities.
ro-ko/netflix
ro-ko/note-app
ro-ko/numpy-100
100 numpy exercises (with solutions)
ro-ko/paper_quality_plot.matlab
paper_quality_plot.matlab
ro-ko/react-crud
ro-ko/react-shop
ro-ko/ro-ko.github.io
ro-ko/Sentimetnt-Anaylsis
Sentimetnt Anaylsis project with NSMC dataset
ro-ko/spreadsheet
ro-ko/TinyLlama
The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
ro-ko/todo-app
ro-ko/ToG
This is the official github repo of Think-on-Graph. If you are interested in our work or willing to join our research team in Shenzhen, please feel free to contact us by email (xuchengjin@idea.edu.cn)
ro-ko/yet-another-gpt-tutorial
Deep learning sample code
ro-ko/yet-another-rl-tutorial