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question_answering_on_squad

Pytorch Implementation of Dynamic Co-attention Networks(DCN+) for Question Answering on SQuAD2.0

r-net

Tensorflow Implementation of R-Net

rasa_nlu

💬 Open source library for natural language understanding with intent classification and entity extraction - DIY NLP for chatbots

reference

Reference implementations of MLPerf benchmarks

reinforced-mnemonic-reader

Reinforced Mnemonic Reader for Machine Reading Comprehension with reinforcement loss in tensorflow

reinforcement-learning

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

rest-api-sections

A small repository of projects built in my course, REST APIs with Flask and Python.

reuters-docsim

Different approaches to computing document similarity

rl-chatbot

🤖 Deep Reinforcement Learning Chatbot

rl4ad

Reinforcement Learning for Anomaly Detection

rlseq2seq

Deep Reinforcement Learning For Sequence to Sequence Models

rnn-time-series-anomaly-detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

san_mrc

Stochastic Answer Networks (SAN) for Machine Reading Comprehension

sentence-completion

MSR sentence completion challenge implementation (RNNLM, LSA total similarity, word2vec total similarity) in Python

seq2seq-chatbot

A sequence2sequence chatbot implementation with TensorFlow.

siamese-lstm-for-sentence-similarity

A tensorflow implementation of siamese lstm.

siml

Machine Learning algorithms implemented from scratch

simple-qa-emnlp-2018

Code for my EMNLP 2018 paper "SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach"

sketch_rnn_keras

Keras implementation of Sketch RNN

skip-thoughts

An implementation of Skip-Thought Vectors in PyTorch

spacy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

spark

Mirror of Apache Spark

stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

sumy

Module for automatic summarization of text documents and HTML pages.

syntaxnet-wrapper

Wrapper to use syntaxnet with pre-trained model

tensor2tensor

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

tensorflow-to-pb

tensorflow-tutorials

TensorFlow Tutorials with YouTube Videos

tensorflow-without-a-phd

A crash course in six episodes for software developers who want to become machine learning practitioners.