Alternatives and similar repositories for keras-cntk-docker

Users that are interested in keras-cntk-docker are comparing it to the libraries listed below

• minimaxir / deep-learning-cpu-gpu-benchmark
  Repository to benchmark the performance of Cloud CPUs vs. Cloud GPUs on TensorFlow and Google Compute Engine.
  ☆66Updated 8 years ago
• minimaxir / keras-cntk-benchmark
  Code for Benchmarking CNTK performance on Keras vs. TensorFlow
  ☆26Updated 8 years ago
• tesserai / tfi
  Use any TensorFlow model in a single line of code
  ☆151Updated 7 years ago
• kutoga / going_deeper
  Going Deeper: Infinite Deep Neural Networks
  ☆96Updated 7 years ago
• fomorians / tfstage
  TFStage: TensorFlow Project Scaffolding
  ☆62Updated 5 years ago
• distillpub / post--augmented-rnns
  Attention and Augmented Recurrent Neural Networks
  ☆175Updated 7 years ago
• Kaixhin / FGMachine
  Future Gadget Machine
  ☆68Updated 7 years ago
• tensorlab / tensorfx
  TensorFlow framework for training and serving machine learning models
  ☆194Updated 8 years ago
• rmst / chi
  A high-level framework for advanced deep learning with TensorFlow
  ☆54Updated 8 years ago
• deepforge-dev / examples
  DeepForge example projects
  ☆32Updated 5 years ago
• felixlaumon / docker-deeplearning
  For running deep neural net experiment on AWS EC2 GPU instance with Docker and Docker machine
  ☆57Updated 9 years ago
• aizvorski / vgg-benchmarks
  Simple benchmark of deep learning frameworks on VGG-16
  ☆134Updated 7 years ago
• CarsonScott / Prediction-Template-Learning
  Online machine learning algorithm that makes predictions about the environment to improve itself.
  ☆61Updated 8 years ago
• sigopt / sigopt-sklearn
  SigOpt wrappers for scikit-learn methods
  ☆75Updated 2 years ago
• keplr-io / picard
  Easily declare large spaces of (keras) neural networks and run (hyperopt) optimization experiments on them.
  ☆52Updated 8 years ago
• thomsn / easy_gene
  Easy genetic algorithm
  ☆14Updated 7 years ago
• empiricalci / emp
  Empirical CLI
  ☆42Updated 5 years ago
• LucaAmbrogioni / Functional-GP-analysis-in-Python
  A python toolbox for GP analysis written in a functional programming style
  ☆22Updated 8 years ago
• michaelulin / pytorch-caffe2-aws-lambda
  Serving PyTorch Models on AWS Lambda with Caffe2 & ONNX
  ☆48Updated 8 years ago
• nextml / NEXT
  NEXT is a machine learning system that runs in the cloud and makes it easy to develop, evaluate, and apply active learning in the real-wo…
  ☆163Updated last year
• QUVA-Lab / artemis
  Artemis aims to get rid of all the boring, bureaucratic coding (plotting, file management, organizing experiments, etc) involved in machi…
  ☆239Updated last year
• relh / keras-residual-unit
  customize this building block to make all the residual connections you can dream of
  ☆80Updated 9 years ago
• opveclib / opveclib
  The Operator Vectorization Library, or OVL, is a python productivity library for defining high performance custom operators for the Tenso…
  ☆68Updated 9 years ago
• 0011001011 / vizuka
  Explore high-dimensional datasets and how your algo handles specific regions.
  ☆107Updated 7 years ago
• jgreenemi / Parris
  Parris, the automated infrastructure setup tool for machine learning algorithms.
  ☆314Updated 7 years ago
• cgarciae / tensorbuilder
  TensorBuilder is a TensorFlow library enables you to easily create complex deep neural networks by leveraging the phi DSL to help define …
  ☆90Updated 8 years ago
• raviqqe / tensorflow-qnd
  Quick and Dirty TensorFlow command framework to train and evaluate models and make inference
  ☆55Updated 6 years ago
• ndronen / modeling
  Modules/scripts/utilities for modeling with various neural network frameworks.
  ☆25Updated 9 years ago
• teonite / convnet-filter
  Convolutional neural networks as an answer to image scaling issues
  ☆18Updated 9 years ago
• Kaixhin / FGLab
  Future Gadget Laboratory
  ☆221Updated 7 years ago