Jay Lee's repositories
papers
Compilation Of Paper Annotations
datatrove
Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
ai_design_project
인공지능 종합 설계 프로젝트 레포
instruction-tuning-with-rag-example
Closed Platform과 검색 API RAG를 이용한 Instruction Tuning 예제
dataset_library
Datasets Warehouse for Korean CLM project
udemy-docker-mastery
Docker Mastery Udemy course to build, compose, deploy, and manage containers from local development to high-availability in the cloud
fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Intro_of_Pytorch
파이토치 튜토리얼
faiss
A library for efficient similarity search and clustering of dense vectors.
google-research
Google Research
kaggle-api
Official Kaggle API
Deep-Learning-Specialization-Coursera
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
gym
A toolkit for developing and comparing reinforcement learning algorithms.
ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
Spark-The-Definitive-Guide
Spark: The Definitive Guide's Code Repository
feature-engineering-book
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
hadoop-book
Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White