Apache SystemDS

Overview: SystemDS is an open source ML system for the end-to-end data science lifecycle from data integration, cleaning,and feature engineering, over efficient, local and distributed ML model training, to deployment and serving. To thisend, we aim to provide a stack of declarative languages with R-like syntax for (1) the different tasks of the data-sciencelifecycle, and (2) users with different expertise. These high-level scripts are compiled into hybrid execution plans oflocal, in-memory CPU and GPU operations, as well as distributed operations on Apache Spark. In contrast to existingsystems - that either provide homogeneous tensors or 2D Datasets - and in order to serve the entire data science lifecycle,the underlying data model are DataTensors, i.e., tensors (multi-dimensional arrays) whose first dimension may have aheterogeneous and nested schema.

Quick Start Install, Quick Start and Hello World

Documentation: SystemDS Documentation

Python Documentation Python SystemDS Documentation

Issue Tracker Jira Dashboard

Status and Build: SystemDS is renamed from SystemML which is an Apache Top Level Project.To build from source visit SystemDS Install from source

An open source ML system for the end-to-end data science lifecycle

Apache SystemDS

🤖 Template for telegram bot using postgres, pgbouncer, redis, docker, amplitude, prometheus, grafana, CI

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

Text analytics for LLM apps. PostHog for prompts. Extract evaluations, intents and events from text messages. phospho leverages LLM (OpenAI, MistralAI, Ollama, etc.)

a flask profiler which watches endpoint calls and tries to make some analysis.

Analytics services for Django projects

A flexible, easy to use, automation framework allowing users to integrate their capabilities and devices to cut through the repetitive, tedious tasks slowing them down. #nsacyber

Apache Superset is a Data Visualization and Data Exploration Platform

Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.