939 Open source projects that are alternatives of or similar to Glue

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

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

food image to recipe with deep convolutional neural networks.

A unified framework for machine learning with time series

A system for quickly generating training data with weak supervision

Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every Tuesday.

💫 Industrial-strength Natural Language Processing (NLP) in Python

Python implementations of some of the fundamental Machine Learning models and algorithms from scratch.

A Swiss-Army Knife for Data I/O

A Pandas Styler class for making beautiful tables

🚀 Build and manage real-life data science projects with ease!

Collection of useful data science topics along with code and articles

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ActivityStreams & ActivityPub in golang, oh my!

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Automate Data Exploration and Treatment

mlr3: Machine Learning in R - next generation

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

Python module for machine learning time series:

An extension to pandas dataframes describe function.

DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

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

How to use TensorLayer

Efficient Learning of Augmentation Policy Schedules

RDF.rb is a pure-Ruby library for working with Resource Description Framework (RDF) data.

Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js

The best resources around Machine Learning

A next-generation curated knowledge sharing platform for data scientists and other technical professions.

A Machine Learning System for Data Enrichment.

A collection of data science and machine learning resources that I've found helpful (I only post what I've read!)

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

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

experiments with python

R package of data and code behind the stories and interactives at FiveThirtyEight

A curated list of fraud detection papers using graph information or graph neural networks

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

JSON-LD TypeScript types for Schema.org vocabulary

A simple probabilistic programming language.

Research photo management

A curated list of references for MLOps

A library of extension and helper modules for Python's data analysis and machine learning libraries.

JSON-LD processor written in Python

阿水的数据竞赛开源分支

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

Deep Learning Computer Vision Algorithms for Real-World Use

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

Code for Machine Learning for Algorithmic Trading, 2nd edition.

common data analysis and machine learning tasks using python

Probabilistic reasoning and statistical analysis in TensorFlow

A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!

Advanced Pandas Vault — Utilities, Functions and Snippets (by @firmai).

Framework for setting up predictive analytics services

R Weekly

Analyze facebook copy of your data with ruby language. Download zip file from facebook and get info about friends ranking by message, vocabulary, contacts, friends added statistics and more

A set of useful tools for competitive data science.

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

(AAAI' 20) A Python Toolbox for Machine Learning Model Combination

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.

Technical specifications and guidelines for implementing Frictionless Data.