ml-ai-nlp-ir Goto Github PK

dl4nlp

Deep Learning for NLP resources

dl_tutorials

Deep learning tutorials (2nd ed.)

dl_tutorials_3rd

Deep learning tutorials (third edition)

dmlc.github.io

the homepage http://dmlc.ml

dnc-tensorflow

A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)

document_cluster

A guide to document clustering in Python

doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

domiknows

dpnn

deep extensions to nn

dpwa

Distributed Learning by Pair-Wise Averaging

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

dravidian-oli

dynamic-nmf

Dynamic Topic Modeling via Non-negative Matrix Facotirzation

dynamicmemorynetworks

Python implementation of DMN

dynet_tutorial_examples

Tutorial on "Practical Neural Networks for NLP: From Theory to Code" at EMNLP 2016

e2e-metrics

E2E NLG Challenge Evaluation metrics

easytensorflow

This package provides users with methods for the automated building, training, and testing of complex neural networks using Google's Tensorflow module. The project includes objects that perform both regression and classification tasks.

edward

A library for probabilistic modeling, inference, and criticism

effectivetensorflow

Tensorflow tutorials and best practices.

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

ensemble_amazon

Code to share different ensemble techniques with focus on meta-stacking , using data from Amazon.com - Employee Access Challenge kaggle competition

epitran

A tool for transcribing orthographic text as IPA (International Phonetic Alphabet)

europython2016_dl-nlp

Introduction to Deep Learning for Natural Language Processing

ev-admm

Hama implementation of EV-ADMM

eval-on-nn-of-rc

Empirical Evaluation on Current Neural Networks on Cloze-style Reading Comprehension

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

expan

A Python library for statistical analysis of randomised control trials (A/B tests)

explaintome

Automatic Web Article Summarizer

factorie

FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference.

fairscale

PyTorch extensions for high performance and large scale training.