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beam

Apache Beam is a unified programming model for Batch and Streaming

datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

deeplearningexamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

edgebundler

Circle plot with bundled edges

fastertransformer

Transformer related optimization, including BERT, GPT

gradio

Create UIs for prototyping your machine learning model in 3 minutes

inference

Reference implementations of MLPerf™ inference benchmarks

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

paxml

Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.

praxis

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

saxml

stable-diffusion-jax

tfx-bsl

Common code for TFX

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.