microsoft / MLOSLinks
MLOS is a project to enable autotuning for systems.
☆167Updated this week
Alternatives and similar repositories for MLOS
Users that are interested in MLOS are comparing it to the libraries listed below
Sorting:
- Samples for NimbusML, a Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.☆39Updated 5 years ago
- Distributed Deep Learning using AzureML☆43Updated 6 years ago
- Generates synthetic data and user interfaces for privacy-preserving data sharing and analysis.☆123Updated last year
- A unified wrapper for various ML frameworks - to have one uniform scikit-learn format for predict and predict_proba functions.☆48Updated 11 months ago
- Benchmarking and monitoring automation, designed for cloud, built with .NET.☆109Updated this week
- Example of using HyperDrive to tune a regular ML learner.☆63Updated 5 years ago
- DeepGNN is a framework for training machine learning models on large scale graph data.☆138Updated this week
- GitHub repositories for Machine Learning Server☆61Updated 2 years ago
- Python library for implementing Responsible AI mitigations.☆68Updated 2 years ago
- A collection of Python Packages for AI usecases☆45Updated 2 years ago
- Turning AML compute into Ray cluster☆77Updated 3 months ago
- Samples of ML models learning from source code☆20Updated 3 years ago
- Providing tools and templates to facilitate modern MLOps practices☆89Updated last year
- Terraform examples for provisioning Azure Machine Learning☆30Updated 4 years ago
- MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.☆158Updated 3 weeks ago
- Deep Learning Workspace☆204Updated 2 years ago
- A collection of libraries for interfacing simulators with the Bonsai platform.☆40Updated 2 years ago
- Peregrine is a workload optimization platform for cloud query engines. The goal of Peregrine is three-fold: 1. make it easier to ingest a…☆22Updated 5 years ago
- RAPIDS GPU-BDB☆108Updated last year
- Schema decoration for inference code☆36Updated last year
- Official Azure Reference Architectures for AI workloads☆74Updated 2 years ago
- Azure Machine Learning for Visual Studio Code, previously called Visual Studio Code Tools for AI, is an extension to easily build, train,…☆340Updated 2 months ago
- Azure plugins for Feast (FEAture STore)☆84Updated last year
- Confidential AI samples☆46Updated last year
- Generic batch processing framework for managing the orchestration, dispatch, fault tolerance, and monitoring of arbitrary work items agai…☆30Updated last year
- Build sim from data for use in reinforcement learning and bonsai platform for machine teaching.☆21Updated 2 years ago
- SQL-ProcBench is an open benchmark for procedural workloads in RDBMSs.☆48Updated 4 years ago
- Serverless ML Framework☆106Updated 3 years ago
- AzureML customer managed k8s compute samples☆83Updated last year
- Repo for publishing code Samples and CLI samples for BatchAI service☆126Updated 6 years ago