Обновлено 2024-09-18 19:39:06 +03:00
MLOS is a Data Science powered infrastructure and methodology to democratize and automate Performance Engineering. MLOS enables continuous, instance-based, robust, and trackable systems optimization.
Обновлено 2024-09-18 03:45:43 +03:00
LookML Generator for Glean and Mozilla Data
Обновлено 2024-09-17 18:47:31 +03:00
A Repository for the public preview of Responsible AI in AML vNext
Обновлено 2024-09-13 01:24:07 +03:00
Sharing Updatable Models (SUM) on Blockchain
machine-learning
python
react
ai
ml
artificial-intelligence
node
economics
blockchain
ethereum
prediction-mar
prediction-market
smart-contracts
truffle
Обновлено 2024-09-11 00:34:15 +03:00
HI-ML toolbox for deep learning for medical imaging and Azure integration
Обновлено 2024-09-03 14:16:21 +03:00
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
nlp
multimodal
beit
beit-3
deepnet
document-ai
foundation-models
kosmos
kosmos-1
layoutlm
layoutxlm
llm
minilm
mllm
pre-trained-model
textdiffuser
trocr
unilm
xlm-e
Обновлено 2024-08-28 08:15:16 +03:00
Hummingbird compiles trained ML models into tensor computation for faster inference.
Обновлено 2024-08-23 12:06:25 +03:00
Sync GitHub teams to groups in Active Directory, LDAP, Okta, OneLogin or AzureAD when using any authentication method for GitHub.
Обновлено 2024-08-23 01:01:05 +03:00
Sync GitHub teams to groups in Active Directory, LDAP, Okta, OneLogin or AzureAD when using any authentication method for GitHub.
Обновлено 2024-08-23 01:01:05 +03:00
AzureML customer managed k8s compute samples
Обновлено 2024-08-15 09:09:07 +03:00
Generic batch processing framework for managing the orchestration, dispatch, fault tolerance, and monitoring of arbitrary work items against many endpoints. Extensible via dependency injection. Includes examples against Cognitive Service containers for ML eval workloads.
Обновлено 2024-08-07 11:58:35 +03:00
Support ML teams to accelerate their model deployment to production leveraging Azure
Обновлено 2024-08-05 10:21:15 +03:00
This is a collection of our NAS and Vision Transformer work.
Обновлено 2024-07-25 13:29:13 +03:00
Bleach is an allowed-list-based HTML sanitizing library that escapes or strips markup and attributes
Обновлено 2024-07-16 21:02:06 +03:00
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
machine-learning
deep-learning
data-science
python
tensorflow
mlops
pytorch
hyperparameter-optimization
hyperparameter-tuning
machine-learning-algorithms
model-compression
nas
neural-architecture-search
neural-network
automated-machine-learning
automl
bayesian-optimization
deep-neural-network
distributed
feature-engineering
Обновлено 2024-07-03 13:54:08 +03:00
AML Command Transfer. A lightweight tool to transfer any command line to Azure Machine Learning Services
Обновлено 2024-05-23 20:25:05 +03:00
This repository contains code and datasets related to entity/knowledge papers from the VERT (Versatile Entity Recognition & disambiguation Toolkit) project, by the Knowledge Computing group at Microsoft Research Asia (MSRA).
nlp
ml
ner
named-entity-recognition
entity-extraction
entity-linking
entity-resolution
grn
language-understanding
linkingpark
nlp-resources
unitrans
xl-ner
bertel
can-ner
cross-lingual-ner
entity-disambiguation
Обновлено 2024-03-16 09:53:11 +03:00
The object detection solution accelerator provides a pre-packaged solution to train, deploy and monitor custom object detection models using the TensorFlow object detection API within Azure ML.
Обновлено 2024-01-24 22:16:23 +03:00
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
machine-learning
deep-learning
python
pytorch
hyperparameter-optimization
automated-machine-learning
automl
model-compression
nas
neural-architecture-search
darts
petridish
Обновлено 2023-12-22 22:29:11 +03:00
Обновлено 2023-11-03 01:42:34 +03:00
a CLI that provides a generic automation layer for assessing the security of ML models
Обновлено 2023-10-04 03:30:41 +03:00
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
azure
microsoft
machine-learning
deep-learning
devops
azureml
mlops
azuremachinelearning
mlops-environment
mlops-template
mlops-workflow
Обновлено 2023-07-28 08:11:02 +03:00
Workshop for student hackathons focused on IoT dev
Обновлено 2023-07-25 12:28:46 +03:00
XTlib is an API and command line tool for scaling and managing ML experiments. The goal of XTLib is to enable you to effortlessly organize and scale your ML experiments. Our tools offer an incremental approach to adoption, so you can begin realizing benefits immediately..
Обновлено 2023-07-06 00:02:50 +03:00
Image similarity solution with Microsoft Machine Learning Server
Обновлено 2023-06-12 22:32:06 +03:00
The overall purpose of this document is to showcase an example of Azure Machine Learning on IoT Edge Devices using Microsoft Embedded Learning Library (ELL)
Обновлено 2023-06-12 22:02:06 +03:00
Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
deep-learning
automl
neural-architecture-search
image-classification
cifar-100
cifar10
deep-learning-algorithms
imagenet
Обновлено 2023-06-12 21:22:32 +03:00