1030 Open source projects that are alternatives of or similar to Pysparkling

Infrastructures™ for Machine Learning Training/Inference in Production.

Speedml is a Python package to speed start machine learning projects.

A fast and lightweight AutoML library.

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

Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.

Easy to use Python library of customized functions for cleaning and analyzing data.

A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

It understands your voice commands, searches news and knowledge sources, and summarizes and reads out content to you.

Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course

Tools for loading standard data sets in machine learning

An intuitive library to extract features from time series

Word Embeddings for Information Retrieval

Applying Data Science and Machine Learning to Solve Real World Business Problems

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

Advanced High Performance Data Science Toolbox for R by Laurae

Visualizer for pandas data structures

Support for jupyter notebook templates in jupyterlab

Complete machine learning model codes

Simple and Distributed Machine Learning

Manipulating VASP files with Python.

R client for the Elasticsearch HTTP API

Annotated data.

Powerful and flexible Instagram scraping library for Python, providing easy-to-use and expressive tools for accessing data programmatically

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

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.

An awesome list of events and fellowship opportunities for Computer Science students

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

Kotlin API for Lets-Plot - an open-source plotting library for statistical data.

NER toolkit for HTML data

Machine learning glossary

Achoo uses a Raspberry Pi to predict if my son will need his inhaler on any given day using weather, pollen, and air quality data. If the prediction for a given day is above a specified threshold, the Pi will email his school nurse, and myself, notifying her that he may need preemptive treatment. Community-sourced health monitoring!

🐳📊📚 Docker Images tracking the stable Galaxy releases.

pyspark methods to enhance developer productivity 📣 👯 🎉

Ten Quick Tips for Deep Learning in Biology

⚾🤖⚾ Automatic baseball pitching overlay in realtime

Metric collection, data testing and monitoring for SQL accessible data

Full Stack Data Science in Python

A complete example of a big data application using : Kubernetes (kops/aws), Apache Spark SQL/Streaming/MLib, Apache Flink, Scala, Python, Apache Kafka, Apache Hbase, Apache Parquet, Apache Avro, Apache Storm, Twitter Api, MongoDB, NodeJS, Angular, GraphQL

This is a tutorial for PyTorch Geometric on the YooChoose dataset

Python, Machine Learning, Deep Learning and Data Science Books

Python package for creating beautiful interactive Chord Diagrams. Pro version available at https://m8.fyi/chord

Web scrapping and related analytics using Python tools

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

List of datasets to apply stats/machine learning/technology to the world of social good.

[tutorial]A functional, Data Science focused introduction to Python

Spying using Smartwatch and Deep Learning

🌍 A curated list of APIs, open data and ML/AI projects on climate change

RDMA accelerated, high-performance, scalable and efficient ShuffleManager plugin for Apache Spark

A day to day plan for this challenge. Covers both theoritical and practical aspects

A desktop application for viewing and analyzing tabular data

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Concise deep learning for JAX

📖 每一个伟大的思想和行动都有一个微不足道的开始

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

Collection of stats, modeling, and data science tools in Python and R.

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

A web application to explore currently hyped stocks on Reddit

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Matplot++: A C++ Graphics Library for Data Visualization 📊🗾

Airbyte is an open-source EL(T) platform that helps you replicate your data in your warehouses, lakes and databases.