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nlp-datasets

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

nlp-with-python

Understanding Natural Language Processing with Python.

nlp-with-python-1

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

node2vec

node2vec-1

Implementation of the node2vec algorithm.

nolearn

scikit-learn compatible neural network library

notes-on-dirichlet-processes

:game_die: IPython notebooks explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation

ntflib

Sparse Beta-Divergence Tensor Factorization Library

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

openstreetmap-carto

A general-purpose OpenStreetMap mapnik style, in CartoCSS

pandasql

sqldf for pandas

pandasticsearch

An Elasticsearch client exposing DataFrame API

paragraph-vectors

:page_facing_up: A PyTorch implementation of Paragraph Vectors (doc2vec)

parfit

A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.

parking

This python script detects if the domain is parked or not provided it resolves to an IP

pcapplot

PCAPPlot provides a quick visual snapshot, or thumbnail, of a network packet capture (PCAP file) from the perspective of a single host/device in four distinct areas: who it is talking to externally, who it is talking to internally, the source ports it is communicating on, and the destination ports it is communicating to.

perslay

Implementation of the PersLay layer for Persistence Diagrams

pgmpy

Python Library for Probabilistic Graphical Models

photon-ml

A scalable machine learning library on Apache Spark

plyj

A Java parser written in Python using PLY.

pocketflow

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

polylearn

A library for factorization machines and polynomial networks for classification and regression in Python.

poseidon

Poseidon is a python-based application that leverages software defined networks (SDN) to acquire and then feed network traffic to a number of machine learning techniques. The machine learning algorithms classify and predict both the type of device and if the device is acting normally or abnormally.

practical_rl

A course in reinforcement learning in the wild

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

probtorch

Probabilistic Torch is library for deep generative models that extends PyTorch

prometheus

Reproducible and fast DL/RL.

pyberryimu

PyBerryIMU - I2C communications lib for using BerryIMU