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niy

A super mini but powerful deep learning framework(CLOSED SOURCE)

nlp

:memo: This repository recorded my NLP journey.

nlp-data-augmentation

Some easy-to-use utils to augment text data in Python

nlp-datasets

Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nlp-topic-extraction

nlp-with-python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

nlp_highlights

The most important NLP highlights of 2018 (PDF Report)

nlp_paper_summaries

✍️ A carefully curated list of NLP paper summaries

nlptoolkits2019notebook

7 Amazing Open Source NLP Tools to Try With Notebooks in 2019

node2vec

Implementation of the node2vec algorithm.

node2vec-example

nokia-project

Exploration for Forecasting Key Performance Network Indicators

non-stationary_texture_syn

Code used for texture synthesis using GAN

nonlinearicp-and-condindtests

Code for a variety of nonlinear conditional independence tests and 'nonlinear Invariant Causal Prediction' to estimate the causal parents of a given target variable from data collected in different experimental or environmental conditions, extending 'Invariant Causal Prediction' from Peters, Buehlmann and Meinshausen (2016) to nonlinear settings.

noreward-rl

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

normalized-compression-neighbors

Document or binary file vectorization with Normalized Compression Distance in Python.

normalized_compression_distance

Using the Normalized Compression Distance to discover similarities among text documents within a corpus

notears

DAGs with NO TEARS: Continuous Optimization for Structure Learning

notears-1

Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)

notears-tensorflow

Reimplementation of NOTEARS in Tensorflow

notebooks

notes-on-causal-inference

Some notes on Causal Inference, with examples in python

nrlpapers

Must-read papers on network representation learning (NRL)/network embedding (NE)

ntm-lasagne

Neural Turing Machines library in Theano with Lasagne

numba

NumPy aware dynamic Python compiler using LLVM

numenta_explained

This is the code for "Numenta Explained" by Siraj Raval on Youtube

oasispiwind

Toy UK windstorm model

obj-gan

Obj-GAN - Official PyTorch Implementation

opendutchwordnet

This repo provides a python module to work with Open Dutch WordNet. It was created using python 3.4.