morgandu

mlcommons-inference

Reference implementations of MLPerf™ inference benchmarks

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

python-aiplatform

pytorch-serve

Serve, optimize and scale PyTorch models in production

pytorch-xla

Enabling PyTorch on Google TPU

saxml

seqio

Task-based datasets, preprocessing, and evaluation for sequence models.

vertex-ai-samples

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

tensorflow

An Open Source Machine Learning Framework for Everyone

morgandu/mlcommons-inference

Reference implementations of MLPerf™ inference benchmarks

morgandu/python-aiplatform

morgandu/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.

morgandu/praxis

morgandu/pytorch-serve

Serve, optimize and scale PyTorch models in production

morgandu/pytorch-xla

Enabling PyTorch on Google TPU

morgandu/saxml

morgandu/seqio

Task-based datasets, preprocessing, and evaluation for sequence models.

morgandu/vertex-ai-samples

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud