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7zip4powershell

Powershell module for creating and extracting 7-Zip archives

adversarial-robustness-toolbox

Python library for adversarial attacks and defenses (evasion, poisoning) for neural networks with multiple framework support

attention

attention_keras

Keras Layer implementation of Attention

autozoom-attack

Codes for reproducing query-efficient black-box attacks in “AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks” ​​​​, published at AAAI 2019

bi-att-flow

Bidirectional Attention Flow

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

colab-god-idclass

cvworkshop

This computer vision workshop is based on the work detecting complex policies in the following [real life code story](https://www.microsoft.com/developerblog/2017/07/31/using-object-detection-complex-image-classification-scenarios/)

e-ml-workshop

e-ml-workshop-day2

Arctiq Day 2 ML Workshop

fastai

The fastai deep learning library, plus lessons and and tutorials

ignite-learning-paths-training-aiml

Microsoft Ignite Learning Path, Train the Trainer materials: Developers Guide to AI

ignitethetour

Microsoft Ignite The Tour

imgaug

Image augmentation for machine learning experiments.

keras-retinanet

Keras implementation of RetinaNet object detection.

lda2vec

learning-rate-finder-tensorflow

Implementation of learning rate finder in TensorFlow

models

Models and examples built with TensorFlow

modern-nlp-in-python

mrc-for-flat-nested-ner

The code for "A Unified MRC Framework for Named Entity Recognition"

nlp-qa

pretrained

prioritz

py-faster-rcnn

Forked from Faster R-CNN (Python implementation)

pytorch-transformers-classification

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

pytorch_rvae

Recurrent Variational Autoencoder that generates sequential data implemented in pytorch

talks

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

tensorflow

An Open Source Machine Learning Framework for Everyone