1234 Open source projects that are alternatives of or similar to Feast

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

A simple Spark-powered ETL framework that just works 🍺

A Clojure dataframe library that runs on Spark

Simple and Distributed Machine Learning

Enabling queries on compressed data.

Test Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

Collection of open-source Spark tools & frameworks that have made the data engineering and data science teams at Swoop highly productive

Server for the ListenBrainz project

A curated list of references for MLOps

Geo Spatial Data Analytics on Spark

Lightweight and Fast Feature Store Powered by Go (and Rust).

Simple and Distributed Machine Learning

Beneath is a serverless real-time data platform ⚡️

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

A simplified, lightweight ETL Framework based on Apache Spark

Building Large-Scale AI Applications for Distributed Big Data

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

A Data Engineering & Machine Learning Knowledge Hub

An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

📊 📋 Dashboards using YAML or JSON files

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

A Spark cluster setup running on Docker containers

A heterogeneous Apache Spark framework.

Waimak is an open-source framework that makes it easier to create complex data flows in Apache Spark.

RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)

Apache Liminals goal is to operationalise the machine learning process, allowing data scientists to quickly transition from a successful experiment to an automated pipeline of model training, validation, deployment and inference in production. Liminal provides a Domain Specific Language to build ML workflows on top of Apache Airflow.

A scalable general purpose micro-framework for defining dataflows. You can use it to create dataframes, numpy matrices, python objects, ML models, etc.

A schema-aware Scala library for data transformation

📒 Experiment tracking tool and model registry

❄️ 🐳 Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++ etc

A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

Distributed scikit-learn meta-estimators in PySpark

Polyaxon Core Client & CLI to streamline MLOps

Spark-Crawler: Apache Nutch-like crawler that runs on Apache Spark.

An open-source storage layer that brings scalable, ACID transactions to Apache Spark™ and big data workloads.

Always know what to expect from your data.

Dataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai

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

A Scala feature transformation library for data science and machine learning

Data validation and organization of metadata for data frames and database tables

A curated list of big data engineering tools, resources and communities.

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

Example project implementing best practices for PySpark ETL jobs and applications.

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

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

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

Apache Spark - A unified analytics engine for large-scale data processing

Apache Spark 官方文档中文版

Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.

The Data Engineering Cookbook

Apache Spark Website

ApacheCN 开源组织：公告、介绍、成员、活动、交流方式

Research on distributed system

Example end to end data engineering project.

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

大数据入门指南 ⭐

Subscribe to this GitHub repo to access the latest tech talks, tech demos, learning materials & modules, and developer community updates!

Open and collaborative content from leet hackers!

Learning Apache spark,including code and data .Most part can run local.