AIExperts

pytorch-transformers

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

fashion-mnist

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

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

dlf-python

Deep Learning Fundamentals with Python

dlaicourse

Notebooks for learning deep learning

ganlab

GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks

presidio

Context aware, pluggable and customizable data protection and PII data anonymization service for text and images

MLOps

MLOps examples

theMLbook

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

data-science-from-scratch

code for Data Science From Scratch book

BlingFire

A lightning fast Finite State machine and REgular expression manipulation library.

Python-Baseball

Building Baseball Data Visualizations with Python

LearnAI-Bootcamp

LearnAI Boot Camp Training Materials

optuna_article

advertorch

A Toolbox for Adversarial Robustness Research

ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

machinelearning-samples

Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

talks-1

My conference talks

bookcorpus

Crawl BookCorpus

blob-event-grid-function-app

This sample demonstrates how to create a serverless application with Azure Functions to receive and process events via an Azure Event Grid Subscription any time a blob is created, updated or deleted in a given container inside an Azure storage account.

spacy-stanfordnlp

💥 Use the latest StanfordNLP research models directly in spaCy

bert

TensorFlow code and pre-trained models for BERT

course-v3

The 3rd edition of course.fast.ai

talks

💥 Browser-based slides or PDFs of our talks and presentations

LightGBM

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

mmlspark

Microsoft Machine Learning for Apache Spark

ML-From-Scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

nauta

A multi-user, distributed computing environment for running DL model training experiments on Intel® Xeon® Scalable processor-based systems

wav2letter

Facebook AI Research Automatic Speech Recognition Toolkit

statistics-for-data-scientists

Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"