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

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

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

👑 Python factor analysis library (PCA, CA, MCA, MFA, FAMD)

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

Survival analysis built on top of scikit-learn

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

A machine learning package for streaming data in Python. The other ancestor of River.

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

ONNXMLTools enables conversion of models to ONNX

An Interactive Approach to Understanding Deep Learning with Keras

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

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

Extra blocks for scikit-learn pipelines.

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

Python package for Bayesian Machine Learning with scikit-learn API

model-describer : Making machine learning interpretable to humans

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

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

custom human activity recognition modules by pose estimation and cascaded inference using sklearn API

AsyncIO serving for data science models

A scikit-learn compatible neural network library that wraps PyTorch

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

A high-performance topological machine learning toolbox in Python

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

A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.

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

The Internals of Spark Structured Streaming

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

Fit interpretable models. Explain blackbox machine learning.

The Internals of Apache Spark

A fast, robust Python library to check for offensive language in strings.

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

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

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

Wirbelsturm is a Vagrant and Puppet based tool to perform 1-click local and remote deployments, with a focus on big data tech like Kafka.

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.

Natural Intelligence is still a pretty good idea.

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

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.

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

機器學習: Python

🧙 A web app to generate template code for machine learning

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

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

Serverless proxy for Spark cluster

notebooks with example for machine learning examples

Visual analysis and diagnostic tools to facilitate machine learning model selection.

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

Morpheus brings the leading graph query language, Cypher, onto the leading distributed processing platform, Spark.

Simple chatbot in Python using NLTK and scikit-learn

based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)

Automated Machine Learning with scikit-learn

AutoGluon: AutoML for Text, Image, and Tabular Data

Distributed Bayesian Entity Resolution in Apache Spark

A graph-based functional API for building complex scikit-learn pipelines.

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

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

Example Maven configuration for a Spark, Scala project

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