1012 Open source projects that are alternatives of or similar to Feature Selection

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning

Data transformations for the ML era

Stock for Deep Learning and Machine Learning

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

An intuitive library to extract features from time series

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

DeltaPy - Tabular Data Augmentation (by @firmai)

[UNMAINTAINED] Automated machine learning for analytics & production

Automatic feature engineering using Generative Adversarial Networks using TensorFlow.

Use advanced feature engineering strategies and select best features from your data set with a single line of code.

A Python library for easy data analysis, visualization, exploration and modeling

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"

Automatic extraction of relevant features from time series:

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

PHP-ML - Machine Learning library for PHP

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Comprehensive toolkit for generating various numerical features of protein sequences

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

📢 Ready to learn or review your knowledge!

EvalML is an AutoML library written in python.

🎨 Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.

LAMA - automatic model creation framework

Flexible time series feature extraction & processing

Complete-Life-Cycle-of-a-Data-Science-Project

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

A miniature lisp-like language for querying JSON-like structures. Tuned for clientside ML feature extraction.

Feature engineering package with sklearn like functionality

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

(deprecated) A fast and memory-efficient Python data engineering framework for machine learning.

An open source python library for automated feature engineering

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

Feature exploration for supervised learning

A collection of non-residential buildings for performance analysis and algorithm benchmarking

A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).

Fast k-Nearest Neighbors Classifier for Large Datasets

A collection of demos showcasing automated feature engineering and machine learning in diverse use cases

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

mlr3: Machine Learning in R - next generation

Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).

Companion code for the book "Mastering Social Media Mining with Python"

Efficient Learning of Augmentation Policy Schedules

The 3rd edition of course.fast.ai

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

A simplified framework and utilities for PyTorch

GoPlus - The Go+ language for engineering, STEM education, and data science

📈 Curated list of resources to help you get started with Data Science

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

A curated list of references for MLOps

An open-source plotting library for statistical data.

Easy-to-use data analysis / manipulation framework for humans

Machine Learning library for the web and Node.

🕵 Artificial Intelligence for social control of public administration

common data analysis and machine learning tasks using python

A system for quickly generating training data with weak supervision

Quiz & Assignment of Coursera