LidaGh

ACE_Azure_ML

This repository contains training material related to Azure and Machine Learning

attention_keras

Keras Layer implementation of Attention

AutoMLPipeline

Azure-MachineLearning-DataScience

azure-ml-tensorflow-complete-sample

azure-search-knowledge-mining

Azure Search Knowledge Mining Accelerator

azure-stream-analytics

Azure Stream Analytics

Azure-TDSP-ProjectTemplate

TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.

Microsoft_Azure_NLP_Solutions

This is a descriptive repository that explains Microsoft Azure cloud solutions for NLP scenarios.

Submitted_Kaggle__Solution_Word2Vec_BERT_QA

LidaGh/Microsoft_Azure_NLP_Solutions

This is a descriptive repository that explains Microsoft Azure cloud solutions for NLP scenarios.

LidaGh/Submitted_Kaggle__Solution_Word2Vec_BERT_QA

LidaGh/Azure-TDSP-ProjectTemplate

TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.

LidaGh/azureml-previews

Azure Machine Learning previews

LidaGh/checklist

Beyond Accuracy: Behavioral Testing of NLP models with CheckList

LidaGh/code-with-engineering-playbook

This is the playbook for "code-with" customer or partner engagements

LidaGh/cognitive-services-language-understanding

Samples for the Language Understanding Intelligent Service (LUIS)

LidaGh/cs224u

Code for Stanford CS224u

LidaGh/Datasets

Machine learning datasets used in tutorials on MachineLearningMastery.com

LidaGh/DialoGPT

Large-scale pretraining for dialogue

LidaGh/dlaicourse

Notebooks for learning deep learning

LidaGh/DP100

Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure

LidaGh/Enterprise-Scale

The Enterprise-Scale architecture provides prescriptive guidance coupled with Azure best practices, and it follows design principles across the critical design areas for organizations to define their Azure architecture

LidaGh/examples

TensorFlow examples

LidaGh/fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

LidaGh/fastformers

FastFormers - highly efficient transformer models for NLU

LidaGh/gpt-neo

An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

LidaGh/Kaggle_CORD-19_NLP_Submitted_Solution

LidaGh/knowledge-extraction-recipes-forms

Knowledge Extraction For Forms Accelerators & Examples

LidaGh/kubernetes-hackfest

Delivering modern cloud-native applications with open source technologies on Azure Kubernetes Service

LidaGh/MachineLearningNotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

LidaGh/mmlspark

Microsoft Machine Learning for Apache Spark

LidaGh/mslearn-aml-labs

Azure Machine Learning Lab Notebooks

LidaGh/PreSumm

code for EMNLP 2019 paper Text Summarization with Pretrained Encoders

LidaGh/responsible-ai-widgets

This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.

LidaGh/ResponsibleAI-Airlift

Given the importance of responsible development and deployment of AI systems, the goal of this session is to equip you with the knowledge you need to successfully use, apply, and promote these offerings on customer use cases. Please forward this invite to other solution architects, evangelists, field activators, etc. We truly hope we can limit this workshop to those of you who work directly with customers on ML and AI topics.

LidaGh/sentencepiece

Unsupervised text tokenizer for Neural Network-based text generation.

LidaGh/shap

A game theoretic approach to explain the output of any machine learning model.

LidaGh/verseagility

VERSEAGILITY - NLP Toolkit

LidaGh/Word2Vec_BERT_QA_Diagnostics_Task_CORD_19