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neural

neural networks, sparse encoders, and recursive auto encoder sin python

neural-enhance

Super Resolution for images using deep learning.

neural-network

A simple neural network written in Python intended as an example to help people get started with AI

neural-network-1

Abstract visualization of biological neural network

neural-network-simple-jan_2020

neural-network-simple-june_2020

Simple artificial neural network written from memory/scratch by Jordan in java

neural-network-simple-march_21_2021

Simple neural network written for XOR

neural-network-simple-matrix-version

A scratch written matrix based implementation of a basic artificial neural network (Written in Java by Jordan Micah Bennett)

neural-network-simple-v2

neural-network-simple_v0.1

A scratch written implementation of a basic artificial neural network Written in Java by Jordan Micah Bennett)

neural-networks-and-deep-learning

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

neural-turing-machines

Attempt at implementing system described in "Neural Turing Machines." by Graves, Alex, Greg Wayne, and Ivo Danihelka. (http://arxiv.org/abs/1410.5401)

neural2d

Neural net optimized for 2D image data

neural_network_practice

A sequence of projects, where I either practice writing neural networks from scratch, or build various versions/types atop scratch written models.

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

niki...network-issue-kinesthetic_learning-information-tool

A generic network diagnostics tool. (written in prolog; by Jordan Micah Bennett)

ntm-lasagne

Neural Turing Machines library in Theano with Lasagne

numjs

Like NumPy, in JavaScript

nupic

Numenta Platform for Intelligent Computing: a brain-inspired machine intelligence platform, and biologically accurate neural network based on cortical learning algorithms.

openpilot

open source driving agent

packnet-sfm

TRI-ML Monocular Depth Estimation Repository

pneumonia-detection-from-chest-x-ray-images-with-deep-learning

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

pneumonia-kaggle

Model to predict pneumonia from chest X-ray scans

pose-estimation-detection

Implementation of openpose with tensorflow & openCV for estimation of human poses & classification.

pothole_detection

Pothole Detection Using Computer Vision (Masked-RCNN)

potholedetection

1st place solution to the MIIA Deep Learning Hackathon

potholes-detection

This is a deep learning model for detecting the potholes on roads. The model is using YOLO-v2.

prettybookingapp

A scratch written social platform that permits complex appointment booking for a driving school. (Written in php/html/js/css by Jordan Bennett)

pseudo-3d-residual-networks

Pseudo-3D Convolutional Residual Networks for Video Representation Learning