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advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

aireferencearchitectures

Official Azure Reference Architectures for AI workloads

aksdeploymenttutorial

Tutorial on how to deploy Deep Learning models on GPU enabled Kubernetes cluster

azure-docs

azureml-bert

End-to-end walk through for fine-tuning BERT using Azure Machine Learning

bert

TensorFlow code and pre-trained models for BERT

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

bert-chainer

Chainer implementation of "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"

bert_language_understanding

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

codebase

Useful scripts

course-v3

The 3rd edition of course.fast.ai

docker-images

Repository of Docker images created by Continuum Analytics

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

langchaindocuments

mixed-reality

mmlspark

Microsoft Machine Learning for Apache Spark

mt-dnn

Multi-Task Deep Neural Networks for Natural Language Understanding

multivariate-time-series-data

peopleplacesthings

Use AR headset to assist elderly or disabled. Recognize objects/people and provide verbal labels & speech to denote what it is. Also incorporate translations.

pytorch-pretrained-bert

A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

recommenders

Best Practices on Recommendation Systems

textworld

​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

tpu

Reference models and tools for Cloud TPUs.

yfinance

Yahoo! Finance market data downloader (+faster Pandas Datareader)