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natural-language-processing-with-tensorflow

Natural Language Processing with TensorFlow, published by Packt

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

nlc

Neural Language Correction implemented on Tensorflow

nlp

Natural Language Processing Examples

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-3----natural-language-processing-with-python-series

Natural Language Processing with Python 3 and NLTK 3 series

nmt

TensorFlow Neural Machine Translation Tutorial

notebook

Jupyter Interactive Notebook

numerical-linear-algebra

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

numpy

Numpy main repository

open-nsynth-super

Open NSynth Super is an experimental physical interface for the NSynth algorithm

opencv

Open Source Computer Vision Library

oreilly-learning-tensorflow

paddle

PArallel Distributed Deep LEarning

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pgmpy

Python Library for Probabilistic Graphical Models

picasso

:art: A CNN visualizer

pipeline

PipelineAI: End-to-End ML and AI Platform for Real-time Spark and Tensorflow Data Pipelines

pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

poincare-embeddings

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

pokemon_gan

This is the code for "Generating Pokemon with a Generative Adversarial Network" by Siraj Raval on Youtube

portfolio

Protfolio Website

practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

practical_rl

A course in reinforcement learning in the wild

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 ;)

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

project-based-learning

Curated list of project-based tutorials

pycolab

A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning agents!

pydata

Notebooks from the Face Recognition Tutorial I gave at PyData Amsterdam