Tools for handling speech data in machine learning projects.

The Go programming language

Kubernetes Operator, ansible playbooks, and production scripts for large-scale AIStore deployments on Kubernetes.

Provides for deploying custom ETL containers on AIStore, with subsequent user-defined extraction-transformation-loading in parallel, on the fly and/or offline, locally to user data.

Go library that provides easy-to-use interfaces and tools for TensorFlow users, in particular allowing to train existing TF models on .tar and .tgz datasets

Utilities for sequential processing of tar files.

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

A vendor-neutral, easily configurable interface to object storage.

Input pipelines for large scale, sharded training of deep learning models.