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A unified framework for machine learning with time series
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Benchmarking different approaches for categorical encoding for tabular data
A library of extension and helper modules for Python's data analysis and machine learning libraries.
This repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) time series prediction.
Jupyter meets Vim. Vimmer will fall in love.
GeoJSON utilities that will make your life easier.
🎨 A curated list of delightful VS Code packages and resources.
Features selector based on the self selected-algorithm, loss function and validation method
An open source python library for automated feature engineering
food image to recipe with deep convolutional neural networks.
An R-based, httr-style interface for the Power BI REST API.
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
Code, notes, etc of completed Kaggle competitions
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
Adaptive Synthetic Sampling Approach for Imbalanced Learning
A library of sklearn compatible categorical variable encoders
practical introduction to Python for neural networks, with keras and tensorflow - Oct 2016
An intuitive library to add plotting functionality to scikit-learn objects.
A collection of IPython notebooks covering various topics.
Interactive convnet features visualization for Keras
Python binding for Microsoft LightGBM
Automated Machine Learning with scikit-learn