neural-network

Pytorch implementation of DeepDream on VGG16 Network

Computational graph library for machine learning

Master's project implementing depth estimation for spherical images using unsupervised learning with CNNs.

Demonstration notebooks for Machine Learning

shapechecking neural net DSL using Hindley-Milner type system(compiles to pytorch as proof of concept)

Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow

Using a GAN based multi scale CNN to predict future frames of a video. Implemented in Chainer

TensorFlow (Keras) implementation of MobileNetV3 and its segmentation head

Udacity Self Driving Car ND projects - including lane detection, Traffic sign classifier, behaviour cloning

A C++ implementation to create, visualize and train Convolutional Neural Networks

The VGG16 and VGG19 networks in caffe with jupyter notebook

End-to-end neural relation extraction using deep biaffine attention (ECIR 2019)

Deep Learning model to predict the template of the given meme

Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch

A visualization tool to show a TensorFlow's graph like TensorBoard

Training and Testing a Set of Machine Learning/Deep Learning Models to Predict Airbnb Prices for NYC

Face Recognition using Neural Networks implemented using Keras

This toolbox is support material for the book on CNN (http://www.convolution.network).

Evolution Simulation in XNA Refresh

Inception model used to classify camera feed on real time. Coded during the Deep Learning Hackathon 2017 San Francisco

Lightweight C++11 library for building deep recurrent neural networks

A deep convolutional neural network system for live emotion detection

PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

predicting equations from raw data with deep learning

Quick tool to draw fully connected neural network architectures

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

binary weight neural network implementation on tensorflow

Models generated by CycleGAN

Tiny yet Powerful Deep Neural Networks

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

Crossmodal Supervised Learning Toolkit using High-Performance Extreme Learning Machines over the audio-visual-textual data

Stock Market Prediction Using Neural Network Models (Backpropagation, RNN LSTM, RBF) keras with Tensorflow backend

Code for the COG dataset and network

A simple Neural Network that learns to predict the XOR logic gates.

A Lightweight & Flexible Deep Learning (Neural Network) Framework in Python

Towards Reverse-Engineering Black-Box Neural Networks, ICLR'18

Stacked What-Where Auto-encoders implementation wiht Tensorflow

TensorFlow-based implementation of (Gaussian) Mixture Model and some other examples.

Training data generator for text detection