162 Open source projects that are alternatives of or similar to DeepLearningCode

Serving a keras model (neural networks) in a website with the python Django-REST framework.

Deep Learning using Rectified Linear Units (ReLU)

Self driving car in GTAV with Deep Learning

Deep learning for freehand sketch object recognition

babble-rnn is a research project in the use of machine learning to generate new speech by modelling human speech audio, without any intermediate text or word representations. The idea is to learn to speak through imitation, much like a baby might.

PyTorch to Keras model convertor

RealTime DigitRecognition using Convolutional Neural Network(CNN) with keras.

Open solution to the Cdiscount’s Image Classification Challenge

A module for E-mail Summarization which uses clustering of skip-thought sentence embeddings.

Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation.

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

Text Classification by Convolutional Neural Network in Keras

RNN benchmarks of pytorch, tensorflow and theano

Network Intrusion Detection System using Deep Learning Techniques

Theano implementation of Sequence-to-Sequence Autoencoder

Convolutional AutoEncoder application on MRI images

AI Chatbot using Dynamic Memory Network in Keras.

CartPole game by Reinforcement Learning, a journey from training to inference

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

Simple keras chat bot using seq2seq model with Flask serving web

Image Captions Generation with Spatial and Channel-wise Attention

Art to Image Style Transfer using Keras and Tensorflow.

Theano reimplementation of pixelCNN architecture

Repository for the Deep One-Class Classification ICML 2018 paper

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

Code for "Variational Neural Machine Translation" (EMNLP2016)

Aesara is a fork of the Theano library that is maintained by the PyMC developers. It was previously named Theano-PyMC.

Visualizing Artificial Neural Networks (ANNs) with just One Line of Code

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.

Implementing Deep learning in R using Keras and Tensorflow packages for R and implementing a Multi layer perceptron Model on MNIST dataset and doing Digit Recognition

Neural network to classify certain styles of Electronic music

Transfer pre-trained VRN model from torch to Keras/Tensorflow

A light weight deep learning framework, on top of Theano, offering better balance between flexibility and abstraction

A tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.

MPI Parallel framework for training deep learning models built in Theano

Bidirectional Helmholtz Machines

I have used FER2013 dataset and try to build the Facial emotion recognition using Keras

Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings

Deep learning driven jazz generation using Keras & Theano!

Generating video descriptions using deep learning in Keras

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

A curated list of applied machine learning and data science notebooks and libraries across different industries.

Learning kernels to maximize the power of MMD tests

Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf

Deep Learning libraries tested on images and time series

No description or website provided.

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

a small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Semestral project for the subject Methods of computational inteligence @ fit.cvut.cz

Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models

UNet for Multiclass Semantic Segmentation, on Keras, based on Segmentation Models' Unet libray

nmtpy is a Python framework based on dl4mt-tutorial to experiment with Neural Machine Translation pipelines.

Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

Easy multiple sclerosis white matter lesion segmentation using convolutional deep neural networks.

Implemented two papers for offline signature verification. Both use different deep learning techniques - Convolutional network and Siamese network.