juyeonma's Stars
Song-Seng-Hun/my-eda-project
EDA 프로젝트 4조 저장소. 🎲 보드게임 트렌드 분석 🎲
zzsza/Datascience-Interview-Questions
Datascience-Interview-Questions for Korean
playinpap/awesome-data-and-analytics-governance
데이터 & 분석 거버넌스 제고를 위한 양질의 레퍼런스들을 수집하고 생각을 나눌 수 있습니다.
khanhnamle1994/cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
kweonwooj/papers
summary of ML papers I've read
alanhakhyeonsong/LetsReadBooks
📚 책책책! 책을 읽읍시다! 기술서적을 읽고 정리하는 공간입니다.
Kulbear/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
mstampfer/Coursera-Stanford-ML-Python
Coursera/Stanford Machine Learning course assignments in python
morethanmin/morethan-log
😎 A static blog using notion database
dibgerge/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
jojoldu/junior-recruit-scheduler
주니어 개발자 채용 정보
terryum/awesome-deep-learning-papers
The most cited deep learning papers
tony9402/programmers
programmers를 이용한 코딩테스트 공부
yuqinie98/PatchTST
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
cure-lab/LTSF-Linear
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
pedrolarben/TimeSeriesForecasting-DeepLearning
An experiemtal review on deep learning architectures for time series forecasting
EthicalML/awesome-artificial-intelligence-guidelines
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
aimclub/FEDOT
Automated modeling and machine learning framework FEDOT
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
boost-devs/ai-tech-interview
👩💻👨💻 AI 엔지니어 기술 면접 스터디 (⭐️ 1k+)
MaartenGr/KeyBERT
Minimal keyword extraction with BERT
Alro10/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
python/cpython
The Python programming language
continuedev/continue
⏩ Continue is the leading open-source AI code assistant. You can connect any models and any context to build custom autocomplete and chat experiences inside VS Code and JetBrains
nitrain/nitrain
Train AI models efficiently on medical images using any framework
Bjarten/early-stopping-pytorch
Early stopping for PyTorch
AMAI-GmbH/AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
husnejahan/DeepAR-pytorch