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neural-network-model-manipulations

Simple examples demonstrating techniques of deep learning model manipulation.

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

neural-style-transfer

Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+

neuralgenetic

Optimizing artificial neural network parameters using the genetic algorithm for the classification of the Fruits360 dataset. The implementation is from scratch using NumPy.

neuralnets

Deep Learning libraries tested on images and time series

neuralplate

recognize licence plate using neural network

neuralplaterecognition

This project is developed in Python using OpenCV and the free deep learning library 'neural-networks-and-deep-learning'. It is capable of recognizing cars and reading the plate number.

neuroevolution-deepneat

neuroevolution-with-keras

new_emotion_mining

Emotion mining using deep learning implemented on PyTorch 0.3

nico-software

Software to run the NICO (Neuro Inspired COmpanion) robot

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-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nnet-survival

A Simple Discrete-Time Survival Model for Neural Networks

noc-book

The Nature of Code book (archived repo, see README for new repo / build system!)

nodemcu-firmware

lua based interactive firmware for mcu like esp8266

notebook

notebooks

Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)

nrf24_multipro

nRF24L01 multi-protocol RC transmitter

nsfw

Adult Content Recognition from Images Using a Mixture of Convolutional Neural Networks

nsga-keras

evolution for NAS based on NSGA/NSGAII/NSGAIII (with parallel evaluation)

nsga-net

NSGA-Net, a Neural Architecture Search Algorithm

number-plate-recognition

This repo uses OpenCV to detect number plates in images

number-plate-recognition-1

Number Plate Detection System is a real-time computer vision technology to extract the license number of vehicles from images. It is an embedded system which has numerous applications and challenges. The system works satisfactorily for wide variations in illumination conditions and different types of number plates commonly found across the world. This project uses Python and the Open Computer Vision Library (OpenCV).

numpy-convnet

A small and pure Numpy Convolutional Neural Network library.

nvidia-autopilot-keras

Keras Implementation of End to End Learning for Self-Driving Cars by (Baris Kayalibay, Grady Jensen, Patrick van der Smagt)

nvidia-selfdriving

Keras implementation of End to End Learning for Self-Driving Cars by Nvidia.

object-detection-in-keras

object-detection-with-deep-learning-and-sliding-window

Introduces an approach for object detection in an image with sliding window. The repository contains three files, make_data.py reads the image in gray scale and converts the image into a numpy array. The labels are also appended based on the file name. In this case, if the file name starts with "trn", then 1 is appended else 0. Finally, all the images and labels are saved into .npy file. The test-model-1.py file loads the images and converts the labels into two categories as we are doing binary classification of images. The model is built using keras with theano as backend. In this case, the best training accuracy was 80% since the data was just 500 images and the testing accuracy was 67%

object-tracking

Object tracking by colour and drawing its path.