DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Обновлено 2024-11-22 19:51:17 +03:00
LISA is developed and maintained by Microsoft, to empower Linux validation.
Обновлено 2024-11-22 17:52:33 +03:00
The Microsoft Bot Framework provides what you need to build and connect intelligent bots that interact naturally wherever your users are talking, from text/sms to Skype, Slack, Office 365 mail and other popular services.
Обновлено 2024-11-20 22:24:59 +03:00
A web privacy measurement framework
Обновлено 2024-10-02 20:13:06 +03:00
Cognitive Service Decision Service Plugin Framework
Обновлено 2024-09-25 13:57:54 +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
this repo provides best practice guidance, plan template, solution assessment tool etc. to help Machine Learning Studio(classic) customer adopt Azure Machine Learning.
Обновлено 2024-07-23 05:46:51 +03:00
Knack - A Python command line interface framework
Обновлено 2024-07-12 12:41:58 +03:00
Distributed AI/HPC Monitoring Framework
Обновлено 2024-06-07 19:24:53 +03:00
A testing framework for VISA based instruments
Обновлено 2024-05-22 19:23:25 +03:00
XtremeDistil framework for distilling/compressing massive multilingual neural network models to tiny and efficient models for AI at scale
Обновлено 2023-12-20 23:40:01 +03:00
Test framework used to run end-to-end tests of SDKs against an Azure IoT Hub or Edge Hub
Обновлено 2023-12-16 02:19:11 +03:00
A framework for drone racing research, built on Microsoft AirSim.
Обновлено 2023-08-15 00:51:00 +03:00
A flexible framework for running experiments with PyTorch models in a simulated Federated Learning (FL) environment.
Обновлено 2023-08-11 23:02:52 +03:00
Code to manage, assign, etc. bugzilla bugs for the risk management framework
Обновлено 2023-07-25 18:10:08 +03:00
PDP: A General Neural Framework for Learning Constraint Satisfaction Solvers
Обновлено 2023-06-12 21:23:15 +03:00
this is a python framework that helps to build any data engineering and data science solutions in Databricks
Обновлено 2023-03-22 20:23:36 +03:00
HPC Pack MESOS framework
Обновлено 2023-01-25 07:02:11 +03:00
Unit testing framework for test driven security of AWS, GCP, Heroku and more.
Обновлено 2022-12-26 23:52:57 +03:00
DEPRECATED - TLS regression scanner for Firefox
Обновлено 2022-12-17 01:13:02 +03:00
Testing framework for Databricks notebooks
Обновлено 2022-12-16 19:30:53 +03:00
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
Обновлено 2022-09-29 18:17:40 +03:00
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Обновлено 2022-09-23 02:59:07 +03:00
tempeh is a framework to TEst Machine learning PErformance exHaustively which includes tracking memory usage and run time.
Обновлено 2022-01-04 00:15:32 +03:00
Mobile-device manager for automated-test frameworks
Обновлено 2020-08-13 21:54:32 +03:00
PySiamTracking project provides a flexible and effective framework that supports mainstream siamese-network-based trackers.
Обновлено 2020-04-06 07:49:52 +03:00
Command line tools utilising Azure Computer Vision Cognitive Services using the mlhub.ai framework
Обновлено 2019-11-18 04:03:44 +03:00
Static analysis framework for analyzing programs written in TVM's Relay IR.
Обновлено 2019-11-01 01:56:18 +03:00
Command line tools utilising Azure Speech to Text Cognitive Services using the mlhub.ai framework
Обновлено 2019-10-08 07:29:51 +03:00