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MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

OneFlow is a performance-centered and open-source deep learning framework.

Machine Learning Framework from Industrial Practice.

Deep learning framework to train, deploy, and ship AI products Lightning fast.

Machine Learning in Python.

A minimalist neural network library optimized for sparse data and single machine environments.

Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management

Experiment tracking, ML developer tools.

Machine Learning automation and tracking.

Kedro-Viz is an interactive development tool for building data science pipelines with Kedro. Kedro-Viz also allows users to view and compare different runs in the Kedro project.

LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.

A developer first, lightweight, user-friendly experiment tracking and visualization tool for machine learning projects, streamlining collaboration and simplifying MLOps. W&B excels at tracking LLM-powered applications, featuring W&B Prompts for LLM execution flow visualization, input and output mon

A model-agnostic visual debugging tool for machine learning.

Bring multiple data streams into one dashboard.

TensorFlow's Visualization Toolkit.

Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js.

A python library for decision tree visualization and model interpretation.

ML models and internal tensors 3D visualizer.

AI evaluation platform for interactively exploring data and model outputs.

FastEdit aims to assist developers with injecting fresh and customized knowledge into large language models efficiently using one single command.

A version control system to manage large files. Lake is a dataset format with a simple API for creating, storing, and collaborating on AI datasets of any size.

Git for Data.

Storage layer that brings scalable, ACID transactions to Apache Spark and other engines.

Pachyderm is a version control system for data.

A self-organizing data hub for S3.

A distributed POSIX file system built on top of Redis and S3.

Git-like capabilities for your object storage.

Modern columnar data format for ML implemented in Rust.

A CLI tool that allows you to build data profiles and write assertion tests for easily evaluating and tracking your data's reliability over time.

A Python library that facilitates fast and easy data exploration by automating the visualization and data analysis process.

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

An open source feature store for machine learning.

??️ distilabel is a framework for synthetic data and AI feedback for AI engineers that require high-quality outputs, full data ownership, and overall efficiency.

Open source platform for the machine learning lifecycle.

ModelFox is a platform for managing and deploying machine learning models.

Standardized Serverless ML Inference Platform on Kubernetes