XLA (Accelerated Linear Algebra) is an open-source machine learning (ML) compiler for GPUs, CPUs, and ML accelerators. The XLA compiler takes models from popular ML frameworks such as PyTorch, TensorFlow, and JAX, and optimizes them for high-performance execution across different hardware platform...
Graph Engine is an open-source distributed in-memory graph processing engine. About Graph Engine Headlamp A user-friendly Kubernetes UI focused on extensibility. Headlamp is a Cloud Native Computing Foundation sandbox project. Headlamp Heft Heft standardizes how TypeScript projects get built, simp...
The TensorFlow project strives to abide by generally accepted best practices in open-source software development. Patching guidelines Follow these steps to patch a specific version of TensorFlow, for example, to apply fixes to bugs or security vulnerabilities: ...
The Kuadrant open source project helps platform engineers and developers connect, secure, and protect services and infrastructure across multiple clusters. Blog Backstage Community Update: September 2024 Kashish Mittal September 10, 2024 Explore the latest Backstage updates and Red Hat's ongoing contribut...
Launching your own Open Source Project 1. How To Get Started with Open Source? 2. How to Find a Bug? Open Source Projects for Beginners Using Python Python Open Source Projects Python Open Source Projects Open Source Projects for Beginners Using Machine Learning Machine Learning Open Source Proje...
We therefore developed an open source machine learning-aided pipeline applying active learning: ASReview. We demonstrate by means of simulation studies that active learning can yield far more efficient reviewing than manual reviewing while providing high quality. Furthermore, we describe the options of ...
Open-source projects Vowpal Wabbit (VW)(opens in new tab)is an open-source machine learning library created by John Langford and developed by Microsoft Research with the help of many contributors. It is a fast, flexible, online, and active learning solution that empowers people to solve comple...
This year, we are showcasing two new Open Source software demonstrations featuring machine learning. The first features a backend video compression that runs on a complete open source stack, and the second is a data quality assurance tool that's designed to integrate into the annotation pipeline....
For over a decade, the Project InnerEye (opens in new tab) team at Microsoft Research Cambridge (opens in new tab) has been developing state-of-the-art machine learning methods for the automatic, quantitative analysis of three-dimensional medical images. An important application is to...
ML.NET is a free, open-source, and cross-platform machine learning framework, created by Microsoft, for the .NET developer platform.