A curated list of research papers and resources on code-switching

My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.

Adaptive Skip-gram implementation in Julia

Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"

Python library for distributed AI processing pipelines, using swappable scheduler backends.

Code and data for segmentation experiments.

Train AI models efficiently on medical images using any framework

Fuzzy String Matching in Python

Code for the paper "DeepType: Multilingual Entity Linking by Neural Type System Evolution"

Simple question answering over knowledge graphs (Mohammed et al., NAACL 2018)

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task. Monitoring with TensorBoard. Other visua…

Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

A short guide on features of Python 3 with examples

Code for WWW 2017 conference paper "Leveraging large amounts of weakly supervised data for multi-language sentiment classification"

Natural language processing (NLP) newsletter right on GitHub

Code for "All-In-1: Short Text Classification with One Model for All Languages" - Plank (2017), IJCNLP 2017 shared task 4

Lime: Explaining the predictions of any machine learning classifier

💫 Industrial-strength Natural Language Processing (NLP) in Python

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

An example of doing MovieLens recommendations using triplet loss in Keras

The ultimate Vim configuration (vimrc)

A library for Multilingual Unsupervised or Supervised word Embeddings

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

A scalable machine learning library on Apache Spark

A methodology to process triples data from the Freebase data dumps.

Quality information extraction at web scale. Edit

Implementation of neural nets using MapReduce and Theano

TensorFlow Neural Machine Translation Tutorial

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