kormilitzin Goto Github PK

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.

nltk_book

NLTK Book

nltk_teach

Miscellaneous materials for teaching NLP using NLTK

nmt

TensorFlow Neural Machine Translation Tutorial

nmt-keras

Neural Machine Translation with Theano+Keras

nonconformist

Python implementation of the conformal prediction framework.

nucleus

Python and C++ code for reading and writing genomics data.

occupancy-detection-data

oreilly-matplotlib-course

Jupyter notebooks from my O'Reilly Media course "Matplolib for Developers: Data Visualization and Analysis with Python"

pandas-datareader

pandas-head-to-tail

pandas-ml

pandas, scikit-learn, xgboost and seaborn integration

parlai

A framework for training and evaluating AI models on a variety of openly available dialog datasets.

parsingtime

Parsing Time: Learning to Interpret Time Expressions

patsy

Describing statistical models in Python using symbolic formulas

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

permute

permutation tests and confidence sets

persistent-homology

Experiments with NLP and persistent homology.

phylocsf

Phylogenetic analysis of multi-species genome sequence alignments to identify conserved protein-coding regions

pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

poincare-embeddings

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

practical-2

Oxford Deep NLP 2017 course - Practical 2: Text Classification

practical-3

Oxford Deep NLP 2017 course - Practical 3: Text Classification with RNNs

practical-open

Oxford Deep NLP 2017 course - Open practical

practical-time-series-analysis

Practical Time-Series Analysis, published by Packt

practicals2017

Deep Learning Indaba 2017 Practical content

prettyplotlib

Painlessly create beautiful matplotlib plots.

prince

:crown: Python factor analysis library (PCA, CA, MCA, FAMD)

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 ;)

probability

Probabilistic reasoning and statistical analysis in TensorFlow