Python Azure-active-directory Resources

Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision https://arxiv.org/abs/2003.00393 Abstract Active learning (AL) aims to min

Styleformer A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/cas

Network scanner A small project that I wrote on the fly for (IT351) Computer Networks University Course to identify and label the devices in my networ

Active Learning with the Nvidia TLT Tutorial on active learning with the Nvidia Transfer Learning Toolkit (TLT). In this tutorial, we will show you ho

Microsoft contributing libraries, tools, recipes, sample codes and workshop contents for machine learning & deep learning.

mansion Mansion is just a testing repo for learners to commit into open source project. These are the steps you need to learn: Please do not edit thes

Sample Dockerized flask app deployed on Kubernetes on Azure using AKS

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

🌩️ tfquery 🌩️ Run SQL queries on your Terraform infrastructure. Ask questions that are hard to answer 🚀 What is tfquery? tfquery is a framework tha

Crack-O-Matic Find and notify users in your Active Directory with weak passwords. Features: Linux-based Flask-based web app Hashcat or John cracker Au

Table of Contents Introduction Architecture Configuring an Endpoint Creating a Amazon Chime Webhook URL Creating a Slack Webhook URL Creating a Micros

Data Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning

⚡ OPAL ⚡ Open Policy Administration Layer OPAL is an administration layer for Open Policy Agent (OPA), detecting changes to both policy and policy dat

Active Speakers in Context This repo contains the official code and models for the "Active Speakers in Context" CVPR 2020 paper. Before Training The c

Bayesian Active Learning (BaaL) BaaL is an active learning library developed at ElementAI. This repository contains techniques and reusable components

Microsoft Machine Learning for Apache Spark MMLSpark is an ecosystem of tools aimed towards expanding the distributed computing framework Apache Spark

MI-AOD Language: 简体中文 | English Introduction This is the code for Multiple Instance Active Learning for Object Detection (The PDF is not available tem

WAL-E Continuous archiving for Postgres WAL-E is a program designed to perform continuous archiving of PostgreSQL WAL files and base backups. To corre

Language: 简体中文 | English Introduction This is the code for Multiple Instance Active Learning for Object Detection, CVPR 2021. Installation A Linux pla

Modular Active Learning framework for Python3 Page contents Introduction Active learning from bird's-eye view modAL in action From zero to one in a fe

dirmaker is a simple, opinionated static site generator for publishing directory websites (eg: Indic.page, env.wiki It takes entries from a YAML file and generates a categorised, paginated directory website.

cookiecutter-fastapi In order to create a template to FastAPI projects. 🚀 Important To use this project you don't need fork it. Just run cookiecutter

cookiecutter-spacy-fastapi Python cookiecutter API for quick deployments of spaCy models with FastAPI Azure Search The API interface is compatible wit

BlobHunter A tool for scanning Azure blob storage accounts for publicly opened blobs. BlobHunter is a part of "Hunting Azure Blobs Exposes Millions of

This is the Vowpal Wabbit fast online learning code. Why Vowpal Wabbit? Vowpal Wabbit is a machine learning system which pushes the frontier of machin

tox automation project Command line driven CI frontend and development task automation tool At its core tox provides a convenient way to run arbitrary

sphinx-autobuild Rebuild Sphinx documentation on changes, with live-reload in the browser. Installation sphinx-autobuild is available on PyPI. It can

Azure SDK for Python This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public

scandir, a better directory iterator and faster os.walk() scandir() is a directory iteration function like os.listdir(), except that instead of return

Django-schedule A calendaring/scheduling application, featuring: one-time and recurring events calendar exceptions (occurrences changed or cancelled)

Build fast, reliable, end-to-end tests. SeleniumBase is a Python framework for web automation, end-to-end testing, and more. Tests are run with "pytes

A Blazing fast Security Auditing tool for kubernetes!! Basic Overview Kubestriker performs numerous in depth checks on kubernetes infra to identify th

Azure SDK for Python This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public

Azure SDK for Python This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public

The easiest way to build Machine Learning APIs BentoML makes moving trained ML models to production easy: Package models trained with any ML framework

Recommenders What's New (February 4, 2021) We have a new relase Recommenders 2021.2! It comes with lots of bug fixes, optimizations and 3 new algorith

Modular Active Learning framework for Python3 Page contents Introduction Active learning from bird's-eye view modAL in action From zero to one in a fe

Django-schedule A calendaring/scheduling application, featuring: one-time and recurring events calendar exceptions (occurrences changed or cancelled)

Unipath An object-oriented approach to file/directory operations Version: 1.1 Home page: https://github.com/mikeorr/Unipath Docs: https://github.com/m