1748 Open source projects that are alternatives of or similar to Tsfel

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.

DeltaPy - Tabular Data Augmentation (by @firmai)

PHP-ML - Machine Learning library for PHP

🎨 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.

Classifying time series using feature extraction

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.

LAMA - automatic model creation framework

Automatic extraction of relevant features from time series:

Data transformations for the ML era

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

Stock for Deep Learning and Machine Learning

An open-source, low-code machine learning library in Python

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

Features selector based on the self selected-algorithm, loss function and validation method

An open source python library for automated feature engineering

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

Feature exploration for supervised learning

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

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

Comprehensive toolkit for generating various numerical features of protein sequences

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

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

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

Measure and visualize machine learning model performance without the usual boilerplate.

TSrepr: R package for time series representations

A Julia machine learning framework

📢 Ready to learn or review your knowledge!

MLBox is a powerful Automated Machine Learning python library.

R package to interface with OpenML

A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile

ELKI Data Mining Toolkit

A curated list of data mining papers about fraud detection.

Gesture Recognition using TensorFlow

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

Statistical Machine Intelligence & Learning Engine

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Multi-class confusion matrix library in Python

Example projects, code, and documents for comparing Mathematica with R.

Telegram Data Clustering contest solution by Mindful Squirrel

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

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Artificial Neural Networks for Scala

Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

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

Machine Learning in R

[UNMAINTAINED] Automated machine learning for analytics & production

IPython widgets, interactive plots, interactive machine learning

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

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

Time Series Cross-Validation -- an extension for scikit-learn

A high-level machine learning and deep learning library for the PHP language.

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

Tutorial Sessions for SciPy Con 2019

Time series features

An open source library for Fuzzy Time Series in Python

Code for Java Deep Learning Cookbook

Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

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