rmax

comprehensive-rust

This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

mage-ai

🧙 Build, run, and manage data pipelines for integrating and transforming data.

bats-core

Bash Automated Testing System

restler-fuzzer

RESTler is the first stateful REST API fuzzing tool for automatically testing cloud services through their REST APIs and finding security and reliability bugs in these services.

common-workflow-language

Repository for the CWL standards. Use https://cwl.discourse.group/ for support 😊

metrics

Machine learning metrics for distributed, scalable PyTorch applications.

deepops

Tools for building GPU clusters

azure-pipelines-yaml

Azure Pipelines YAML examples, templates, and community interaction

toil

A scalable, efficient, cross-platform (Linux/macOS) and easy-to-use workflow engine in pure Python.

icevision

An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come

balance

The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.

glasses

High-quality Neural Networks for Computer Vision 😎

tracr

arvados

An open source platform for managing and analyzing biomedical big data

dunamai

Dynamic versioning library and CLI

pyxis

Container plugin for Slurm Workload Manager

fast_gpt2

Image-Local-Attention

A better PyTorch implementation of image local attention which reduces the GPU memory by an order of magnitude.

rattle

Forward build system with speculation and caching

BIRL

BIRL: Benchmark on Image Registration methods with Landmark validations

dask-pytorch-ddp

dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.

streamflow

StreamFlow Workflow Manager

distributed-embeddings

distributed-embeddings is a library for building large embedding based models in Tensorflow 2.

toupee

A library for Deep Learning Ensembles

prefect_ds

Tools for making Prefect work better for typical data science workflows

ais-etl

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.

cwl-to-argo

CWL to Argo Workflow parser

cwl2slurm

Compile CWL workflow to slurm jobs