108 Open source projects that are alternatives of or similar to conx

Setup and customize deep learning environment in seconds.

We provide GPU-enabled docker images including Keras, TensorFlow, CNTK, MXNET and Theano.

Repository for the Deep One-Class Classification ICML 2018 paper

RNN benchmarks of pytorch, tensorflow and theano

Handwritten Digit Recognition using Machine Learning and Deep Learning

Image Captions Generation with Spatial and Channel-wise Attention

Deep learning for freehand sketch object recognition

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

深度学习相关代码

AETROS CLI + SDK. Command line application to manage/monitor machine learning training in AETROS Trainer

MPI Parallel framework for training deep learning models built in Theano

Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.

Text Classification by Convolutional Neural Network in Keras

A python implementation for a CNTK Fast-RCNN evaluation client

Theano reimplementation of pixelCNN architecture

Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM

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

Code for "Variational Neural Machine Translation" (EMNLP2016)

Image classification of wildflowers using deep residual learning and convolutional neural nets

Trojan Attack on Neural Network

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

Periodic Spatial Generative Adversarial Networks

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

This repo allocate DAPs code of our ECCV 2016 publication

A Docker container with Azure Resource Manager administration tools and a machine/deep learning stack

This is now the official location of the Merlin project.

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

Network Intrusion Detection System using Deep Learning Techniques

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

This is a STORN (Stochastical Recurrent Neural Network) implementation for keras!

Learning kernels to maximize the power of MMD tests

Bidirectional Helmholtz Machines

Deep Learning libraries tested on images and time series

Some Deep learning tools in Unity using CNTK

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

No description or website provided.

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"

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models

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

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

Documentation:

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Theano implementation of Sequence-to-Sequence Autoencoder

Keras community contributions

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

Code examples for training AlexNet using Keras and Theano

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

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

机器学习相关教程

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

Materials for the course of machine learning at Imperial College organized by Yandex SDA

Convolutional AutoEncoder application on MRI images

Implementation of the reweighted wake-sleep machine learning algorithm

Machine Comprehension Train on MSMARCO with S-NET Extraction Modification

Deep learning driven jazz generation using Keras & Theano!

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

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