
Flower
The Industry Standard for Enterprise-Grade Federated AI.
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The Industry Standard for Enterprise-Grade Federated AI.

The industry-standard repository for open-source speech and language processing datasets.

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
A unified AI development platform for building and using generative AI.
Deliver high-performance production ML models quickly at scale with purpose-built MLOps tools.

A large-scale dataset of manually annotated audio events.

Labeled subsets of the 80 million tiny images dataset for machine learning research.
Accelerate AI development with Google Cloud TPUs, custom-designed AI accelerators optimized for training and inference.

An extension of the MNIST dataset to handwritten letters and digits.
The AI community building the future through collaboration on models, datasets, and applications.
The industry-standard library for high-performance, multi-modal data loading and preprocessing in Python.

Glassbox machine learning for high-stakes decision making and responsible AI.

Accelerated, hands-on micro-courses for production-grade data science.
The premier community-driven cloud environment for high-performance data science and machine learning.

AI-powered code completion tool that aimed to accelerate software development, but discontinued operations in 2021.

Serverless infrastructure for data-intensive applications and high-performance AI inference.

An open-source SDK for Federated Learning, enabling secure multi-party collaboration.

The open-source standard for high-performance AI model interoperability and cross-platform deployment.