931 Open source projects that are alternatives of or similar to Toolbox

Resources for the O'Reilly online video "Reactive Python for Data"

Deep Learning Toolkit for Medical Image Analysis

A Handful of D(u)S(t)

Data analysis tool.

Official community-driven Azure Machine Learning examples, tested with GitHub Actions

R package to interface with OpenML

vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under a BSD-3-Clause license.

数据接口：百度、谷歌、头条、微博指数,宏观数据，利率数据，货币汇率，千里马、独角兽公司，新闻联播文字稿，影视票房数据，高校名单，疫情数据…

🌊 FluRS: A Python library for streaming recommendation algorithms

Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning

danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.

AMPLIFY Streams Javascript package containing SDK, documentation and sample applications

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

A simple Spark-powered ETL framework that just works 🍺

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Source material for Python Like You Mean it

fklearn: Functional Machine Learning

🤖⚡️ scikit-learn tips

Turn large Web sites into tables and charts using simple SQLs.

Machine is a workflow/pipeline library for processing data

An R-focused pipeline toolkit for reproducibility and high-performance computing

NeuralPy: A Keras like deep learning library works on top of PyTorch

ohayo is a fast and free data science studio.

Main repository for R programming courses @ University of Cincinnati, courses and tutorials that focus on data wrangling, exploration, visualization, and analysis with R.

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Projeto de análise de contratos com suspeita de superfaturamento e má qualidade na prestação de serviços.

Pravega is 100% open source and community-driven. All components are available under Apache 2 License on GitHub.

MLBox is a powerful Automated Machine Learning python library.

Series of the problem 💯 and solution ✅ asked by Daily Coding problem👨‍🎓 website.

TSrepr: R package for time series representations

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

Data visualisation addon for Blender

GitHub Action for repo2docker

Data Analysis program and framework for materials science data analytics, based on the managing framework SIMPL framework.

Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper and a benchmark for several (Python) implemented survival analysis methods.

A clojure/clojurescript notebook application/-library based on Gorilla-REPL

📝 Подборка ресурсов по машинному обучению

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

The base NIMBLE package for R

Deploy a ML inference service on a budget in less than 10 lines of code.

Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.

DLTK Model Zoo

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.

ETL with Python - Taught at DWH course 2017 (TAU)

Teaching materials in python at the @ENSAE

A community run, 5-day PyTorch Deep Learning Bootcamp

Actively curated list of awesome BI tools. PRs welcome!

Automated Data Science and Machine Learning library to optimize workflow.

👨🏽‍🏫You can learn about anything over here. What Giveaways I do and why it's important in today's modern world. Are you interested in Giveaway's?🔋

Automatic Item List Extraction

A visualisation tool for the creation and analysis of graphs

Statistical data visualization in Python

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

Una introduccion al analisis de datos con R y R Studio

A point-and-click tool for creating and analyzing topic models produced by MALLET.

RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)

Word2Vec models with Twitter data using Spark. Blog:

Python3 binding to mRMR Feature Selection algorithm (currently not maintained)