Data Science

Pachyderm provides data-focused pipelines and version control for datasets and related workflows.

Python library for decision tree visualization and model interpretation.

Ludwig provides a low code framework for building custom LLMs, neural networks, and other AI models.

Polyaxon describes its repository as infrastructure for AI orchestration and control.

Aim tracks machine learning experiments and describes itself as an open-source experiment tracker.

This podcast covers data science at home, with episodes about machine learning, artificial intelligence, and algorithms.

Tad provides a desktop interface for viewing and analyzing tabular data files.

The goro project provides a high level machine learning library written for Go.

This Docker-based starter kit provides a runtime for machine learning work in Jupyter notebooks.

BambooAI analyzes data with a language model in a persistent Python kernel and supports web and Docker workflows.

Lux automatically visualizes Pandas DataFrames to support data exploration.

KNIME provides data analysis tools and a visual workflow builder for data science solutions.

Maze provides an applied reinforcement learning framework for developing projects in Python.

Modin scales Pandas data workflows by changing a single line of code in a project.

Angewandte Data Science presents projects, methods, and processes in a German applied data science book.

NannyML provides Python tools for post-deployment data science and monitoring model performance under data drift.

PrimeHub offers an open-source platform for managing machine learning operations and workflows.

CML provides continuous machine learning and CI/CD workflows for machine learning projects.

Data Science IPython Notebooks collects notebooks about data science, including TensorFlow deep learning.

Deploy a ML inference service on a budget in less than 10 lines of code.

Use Aeromancy to build reproducible machine learning workflows and projects.

teeplot organizes visualization output and names files based on semantic plotting variables.

DrivenData hosts data science competitions where participants build predictive models for organizations addressing social challenges.

Deepchecks tests and validates machine learning models and data, covering workflows from research through production.