Pinned Repositories
AMS
Automatic Model Selector
awesome-industrial-machine-datasets
cheatsheets
My Cheatsheet Repository
CleanCodeInPython
파이썬 클린코드 내용 정리
cml_churn_demo_mlops
coco-annotator
:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints
dashboards
Responsive dashboard templates for Bootstrap 📊✨
deepface
A Lightweight Deep Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Framework for Python
h2o-3
Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)
yoonslab's Repositories
yoonslab/AMS
Automatic Model Selector
yoonslab/awesome-industrial-machine-datasets
yoonslab/cheatsheets
My Cheatsheet Repository
yoonslab/CleanCodeInPython
파이썬 클린코드 내용 정리
yoonslab/cml_churn_demo_mlops
yoonslab/coco-annotator
:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints
yoonslab/deepface
A Lightweight Deep Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Framework for Python
yoonslab/diagrams
:art: Diagram as Code for prototyping cloud system architectures
yoonslab/docker-elk
The Elastic stack (ELK) powered by Docker and Compose.
yoonslab/DSND_Term1
Contains files related to content and project of DSND
yoonslab/Effective-Python
Learn and summarize 'Effective Python'
yoonslab/Event-Driven-Stock-Prediction-using-Deep-Learning
A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning event embedding, and using a deep convolutional neural network to model the combined influence of long-term events and short-term events on stock price movements
yoonslab/kedro
A Python framework for creating reproducible, maintainable and modular data science code.
yoonslab/machine-learning
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
yoonslab/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
yoonslab/mlops-mlflow-bentoml-tutorial
for hu
yoonslab/modin
Modin: Speed up your Pandas workflows by changing a single line of code
yoonslab/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
yoonslab/Neuraxle
A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.
yoonslab/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
yoonslab/pandas-profiling
Create HTML profiling reports from pandas DataFrame objects
yoonslab/Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
yoonslab/Python_base
yoonslab/pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
yoonslab/R
Basic Tips for R
yoonslab/Sentiment-Analysis-in-Event-Driven-Stock-Price-Movement-Prediction
Use NLP to predict stock price movement associated with news
yoonslab/tech-books-library
📚e-books in PDF and ePub formats across a wide range of technology stacks and topics
yoonslab/tmap-route
Calculate OD distance and duration w. geocode
yoonslab/typer
Typer, build great CLIs. Easy to code. Based on Python type hints.
yoonslab/yoonslab.github.io
{HCI · AI · DL} in Data Science