640 Open source projects that are alternatives of or similar to Sparkit Learn

📚 Various cheatsheets in PDF

Fundamentals of Spark with Python (using PySpark), code examples

Train and run Pytorch models on Apache Spark.

Framework of vectorized and distributed data analytics

(Deprecated) Scikit-learn integration package for Apache Spark

Big Data RDF Processing and Analytics Stack built on Apache Spark and Apache Jena http://sansa-stack.github.io/SANSA-Stack/

REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models

Easy CPU Profiling for Apache Spark applications

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

MapReduce, Spark, Java, and Scala for Data Algorithms Book

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Concurrent, Asynchronous, Distributed, Communicating Tasks with Python

Runtime for Writing Streaming Applications in Rust.

brief introduction to Python for machine learning

This application comes as Spark2.1-as-Service-Provider using an embedded, Reactive-Streams-based, fully asynchronous HTTP server

Simple chatbot in Python using NLTK and scikit-learn

Learn to build a basic machine learning model from scratch with this repo and tutorial series.

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

Predicting Future Influenza Virus Sequences with Machine Learning

For extensive instructor led learning

Distributed Bayesian Entity Resolution in Apache Spark

Plot live-stats as graph from ApacheSpark application using Lightning-viz

Spark Application for analysis of Apache Access logs and detect anamolies! Along with Medium Article.

Java implementation of K-Sortable Globally Unique IDs

Distributed Computing for AI Made Simple

C# and F# language binding and extensions to Apache Spark

Alpine Container for Machine Learning

Multi-platform Scheduling and Workflows Engine

Cloud-based SQL engine using SPARK where data is accessible as JDBC/ODBC data source via Spark ThriftServer.

The Internals of Apache Spark

Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark

Automatic paper clustering and search tool by fastext from Facebook Research

🧙 A web app to generate template code for machine learning

Natural Korean Processor for Apache Spark

Spark examples

100 Days of ML Coding

Курс "Введение в машинное обучение" (ВМК, МГУ имени М.В. Ломоносова)

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

Computer vision sabbatical study materials

Association Rule Mining from Spatial Data for Crime Analysis

A curated list of awesome Apache Spark packages and resources.

Repository for the ICON 2017 hackathon 'multivoxel pattern analysis (MVPA) of fMRI data in Python'

This is an example of real time stream processing using Spark Streaming, Kafka & Elasticsearch.

Distributed computing for the browser

notebooks with example for machine learning examples

Combines the ease of use of scikit-learn with the power of Theano/Lasagne

A collection of notebooks of my Machine Learning class written in python 3

Genetic Programming in Python, with a scikit-learn inspired API

Example Maven configuration for a Spark, Scala project

Open Machine Learning Course

model-describer : Making machine learning interpretable to humans

Using python and scikit-learn to make stock predictions

An Interactive Approach to Understanding Deep Learning with Keras

AsyncIO serving for data science models

Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub

SparkTDA is a package for Apache Spark providing Topological Data Analysis Functionalities.

Predicting forex binary options using time series data and machine learning

JavaScript Digital Organisms simulator

A Hashcat wrapper for distributed hashcracking