Alternatives and similar repositories for AWS-deep-learning

Users that are interested in AWS-deep-learning are comparing it to the libraries listed below

• loudinthecloud / dpwa
  Distributed Learning by Pair-Wise Averaging
  ☆52Updated 8 years ago
• JasonBenn / nips-scraper
  Scrapes the abstracts to NIPS 2017 papers.
  ☆40Updated 8 years ago
• jsikyoon / visual-interaction-networks_tensorflow
  Tensorflow Implementation of Visual Interaction Networks
  ☆131Updated 6 years ago
• vzhong / dashboard
  Utilities and monitors for machine learning experiments, web client included.
  ☆149Updated 8 years ago
• ClementPinard / Multiple-smi
  Python bindings for pyNVML and psutil library over network
  ☆51Updated 2 years ago
• jsikyoon / pathnet
  Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
  ☆103Updated 8 years ago
• rmst / chi
  A high-level framework for advanced deep learning with TensorFlow
  ☆54Updated 8 years ago
• jn2clark / nn-iterated-projections
  Neural network training using iterated projections.
  ☆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
• Smerity / trending_arxiv
  Track trending arXiv papers on Twitter from within your circle
  ☆176Updated 9 years ago
• Kaixhin / FGMachine
  Future Gadget Machine
  ☆68Updated 7 years ago
• thtrieu / essence
  AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpos…
  ☆78Updated 5 years ago
• Atcold / pytorch-Video-Tutorials
  The versatility of Python enlightened by Torch to seize Deep Learning
  ☆129Updated 8 years ago
• ypxie / pytorch-NeuCom
  Pytorch implementation of DeepMind's differentiable neural computer paper.
  ☆93Updated 8 years ago
• negrinho / deep_architect_legacy
  DeepArchitect: Automatically Designing and Training Deep Architectures
  ☆145Updated 6 years ago
• carpedm20 / paper-notes
  personal notes
  ☆55Updated 8 years ago
• GokuMohandas / fast-weights
  🏃 Implementation of Using Fast Weights to Attend to the Recent Past.
  ☆269Updated 6 years ago
• MycChiu / fast-LayerNorm-TF
  Efficient layer normalization GPU kernel for Tensorflow
  ☆110Updated 8 years ago
• jayanthkoushik / sgd-feedback
  ☆69Updated 7 years ago
• apaszke / pytorch-dist
  ☆35Updated 8 years ago
• pranv / ARC
  Code for Attentive Recurrent Comparators
  ☆58Updated 8 years ago
• musyoku / self-normalizing-networks
  Chainer implementation of Self-Normalizing Networks (SNN)
  ☆25Updated 8 years ago
• jiamings / cramer-gan
  Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)
  ☆123Updated 8 years ago
• kimhc6028 / forward-thinking-pytorch
  Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"
  ☆65Updated 8 years ago
• mitdbg / fastdeepnets
  ☆113Updated 2 years ago
• diux-dev / ncluster
  ☆37Updated 6 years ago
• soumith / net2net.torch
  Implementation of http://arxiv.org/abs/1511.05641 that lets one build a larger net starting from a smaller one.
  ☆158Updated 9 years ago
• ajbrock / FreezeOut
  Accelerate Neural Net Training by Progressively Freezing Layers
  ☆212Updated 7 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
• dmarnerides / pydlt
  PyTorch based Deep Learning Toolbox
  ☆206Updated 7 years ago