ram-msft Goto Github PK

msdaie2e

mt-dnn

Multi-Task Deep Neural Networks for Natural Language Understanding

mtc_azureailabs

MTC Azure AI Labs

nlp

Natural Language Processing Best Practices & Examples

nlp_paper_summaries

✍️ A carefully curated list of NLP paper summaries

openai-demos-bot-webapp

opencv

Open Source Computer Vision Library

pipelines-azureml

Example Azure Pipeline to train and deploy a machine learning model using the Azure Machine Learning service

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

practicalai

AIF01 Practical AI for the Working Software Engineer

project-cyclops

Weed Detection and Killing Weeds using Lasers of 500mW on Farmbot This Project is in collaboration between Farmbot Inc and the Center of Excellence of Artificial Intelligence and Robotics

python-cv-samples

Python computer vision samples

pytorch-retinanet

Pytorch implementation of RetinaNet object detection.

pytorch-transformers

👾 A library of state-of-the-art pre-trained models for Natural Language Processing (NLP)

quantumlibraries

Q# libraries for the Quantum Development Kit

quest_qa_labeling

Google QUEST Q&A Labeling. Improving automated understanding of complex question answer content

recommenders

Best Practices on Recommendation Systems

register-an-azure-sql-db-to-aml

semanticquestion10k

Ask questions to a 10K report and get answers using Microsoft Semantic Kernel and Azure OpenAI Service

smarthotel360-website

SmartHotel360 Webiste

snorkel

A system for quickly generating training data with weak supervision

solution-accelerator-many-models

speechtotext

stackoverflow-demo

tacotron

A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)

undocker

vision-ai-developer-kit

Vision AI Developer Kit Preview

vott

Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

vscode-plugin

Kite Python Assistant for Visual Studio Code

whisper

Robust Speech Recognition via Large-Scale Weak Supervision