281 Open source projects that are alternatives of or similar to DockerKeras

Setup and customize deep learning environment in seconds.

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

The On-Ramp to Deep Learning

Sets up a VM with Keras, TensorFlow, TFLearn and Theano installed

A python implementation for a CNTK Fast-RCNN evaluation client

Character Embeddings Recurrent Neural Network Text Generation Models

MXNet bindings for .NET/F#

Code for "Variational Neural Machine Translation" (EMNLP2016)

Official implementation of "Explicit Interaction Model towards Text Classification"

A tool to count operators and parameters of your MXNet-Gluon model.

Reproduce SSH (Single Stage Headless Face Detector) with MXNet

Network Intrusion Detection System using Deep Learning Techniques

Some deep learning models written with mxnet and C++11.

crnn in mxnet.can train with chinese characters

.NET wrapper for Apache MXNet written in C#

Identifying diseases in chest X-rays using convolutional neural networks

MXNet implementation of CapsNet

A Gluon implement of MobileNetV3

baidu contest, url: http://dianshi.baidu.com/gemstone/competitions/detail?raceId=17

Tengine Convert Tool supports converting multi framworks' models into tmfile that suitable for Tengine-Lite AI framework.

Gluon to PyTorch deep neural network model converter

MXNet Implementation of DCGAN, Conditional GAN, pix2pix

FCOS: Fully Convolutional One-Stage Object Detection.

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

Convolutional AutoEncoder application on MRI images

Mxnet2Caffe_Tensor RT

Sentiment ananlysis in keras and mxnet

基于 mxnet, 实现 ssd demo for android

Kaggle 120种狗分类，Gluon实现

This is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.

Bidirectional Helmholtz Machines

Machine Learning Operator & Controller for Kubernetes

The collaboration workspace for Machine Learning

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

Deep learning for freehand sketch object recognition

A MXNet implementation of Baidu's DeepSpeech architecture

No description or website provided.

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

No description or website provided.

the loss function in Aritcal ‘Focal Loss for Dense Object Detection‘’

arcface and retinaface model convert mxnet to onnx.

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

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

Reproduce SFD face detector using gluon-cv

RNN benchmarks of pytorch, tensorflow and theano

深度学习相关代码

A Lightweight and Efficient Method for Face Age and Gender Estimation Implemented in MXNet

用python做计算机视觉，人工智能，机器学习，深度学习等

this repo attemps to reproduce Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks(CycleGAN) use gluon reimplementation

MXNet OCR implementation. Including text recognition and detection.

A Gluon implement of Residual Attention Network. Best acc on cifar10-97.78%.

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

6th place solution

[this repo is no longer maintained] Neural Network image classifier (inception-bn network architecture), developed via MxNet

💡 A flexible tool for building and sharing deep learning modules.

LipNet with gluon

Theano implementation of Sequence-to-Sequence Autoencoder

MXNet implementation for DenseNet

Multiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation. Intel iHD GPU (iGPU) support. NVIDIA GPU (dGPU) support.