It shows a korean chatbot using LangChain based on Llama3

OpenFE: automated feature generation with expert-level performance

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

딥러닝 학습 자료를 모아두고 여러 사람이 참고하여 학습할 수 있도록 돕습니다.

Streamlit 튜토리얼 😁

code for the paper "Few-Shot Regression via Learning Sparsifying Basis Functions

A Pytorch implementation of MAML

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

Distribute and run LLMs with a single file.

'map_project_ai' 는 맵 사용자가 좀더 편하게 원하는 목적지를 찾게 도와주는 사이트입니다.

덕새는 알고리즘을 찢어! 알고리즘, 제대로 공부하자

A collection of various deep learning architectures, models, and tips

Tool (ICPM 2020 demo)

Event Log generator for Process Mining Discovery purposes

Time series forecasting with PyTorch

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION

The problexity is an open-source python library containing the implementation of measures describing the complexity of the classification and regression problems.

Python port of R's Comprehensive Dynamic Time Warp algorithms package

Solving P-median problem using python comparing results to ArcGIS Pro

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

R codes of complexity measures for regression problems

Comparative experimental evaluation of outcome-oriented predictive monitoring techniques on a benchmark consisting of 24 real-world datasets.

Machine Learning algorithm implementations from scratch.

Python Meta-Feature Extractor package.

Extended Complexity Library in R

A Python package for declarative Process Mining with Machine Learning applications

A collection of research papers on decision, classification and regression trees with implementations.