478 Open source projects that are alternatives of or similar to Spark Sklearn

PySpark + Scikit-learn = Sparkit-learn

📚 Various cheatsheets in PDF

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

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

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

Predicting forex binary options using time series data and machine learning

Spark examples

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

Easy CPU Profiling for Apache Spark applications

An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform.

scikit-learn机器学习库中文文档翻译项目

Association Rule Mining from Spatial Data for Crime Analysis

Open Machine Learning Course

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

Automatic paper clustering and search tool by fastext from Facebook Research

Using python and scikit-learn to make stock predictions

Alpine Container for Machine Learning

Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!

For extensive instructor led learning

R interface for Apache Spark

brief introduction to Python for machine learning

Computer vision sabbatical study materials

Samples and Tools for Windows ML.

An open source python library for automated feature engineering

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

Predicting Future Influenza Virus Sequences with Machine Learning

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

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

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

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

An Interactive Approach to Understanding Deep Learning with Keras

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

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

model-describer : Making machine learning interpretable to humans

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

AsyncIO serving for data science models

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

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

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

Probably the best curated list of data science software in Python.

The Internals of Apache Spark

The "Python Machine Learning (2nd edition)" book code repository and info resource

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

Code examples that show to integrate Apache Kafka 0.8+ with Apache Storm 0.9+ and Apache Spark Streaming 1.1+, while using Apache Avro as the data serialization format.

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

A curated list of project tutorials for project-based learning.

🧙 A web app to generate template code for machine learning

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

notebooks with example for machine learning examples

A scikit-learn based module for multi-label et. al. classification

Simple chatbot in Python using NLTK and scikit-learn

Distributed Bayesian Entity Resolution in Apache Spark

Automated Machine Learning with scikit-learn

100 Days of ML Coding

My blogs and code for machine learning. http://cnblogs.com/pinard

Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

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

A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn friendly interface in an effort to expedite the modeling process.

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