Alternatives and similar repositories for pregel

Users that are interested in pregel are comparing it to the libraries listed below

• tkchris93 / ForwardThinking
  Forward Thinking NIPS 2017
  ☆106Updated 7 years ago
• amujika / Fast-Slow-LSTM
  ☆92Updated 8 years ago
• martius-lab / l4-optimizer
  Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"
  ☆124Updated 6 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
• neuralix / google_evolution
  ☆53Updated 8 years ago
• pranv / ARC
  Code for Attentive Recurrent Comparators
  ☆57Updated 8 years ago
• jsuarez5341 / Recurrent-Highway-Hypernetworks-NIPS
  Cleaned original source code from my NIPS publication
  ☆157Updated 7 years ago
• dmarnerides / pydlt
  PyTorch based Deep Learning Toolbox
  ☆205Updated 7 years ago
• rizalzaf / adversarial-multiclass
  Adversarial Multiclass Classification: A Risk Minimization Perspective
  ☆28Updated 5 years ago
• vsuriya93 / Deep-Learning-for-Graph-Representations
  This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request
  ☆33Updated 8 years ago
• GokuMohandas / attentional-interfaces
  🔍 Attentional interfaces in TensorFlow.
  ☆61Updated 6 years ago
• mrdrozdov-github / pytorch-extras
  Some extra features for pytorch.
  ☆50Updated 8 years ago
• codekansas / gandlf
  Generative Adversarial Networks in Keras
  ☆46Updated 4 years ago
• ramon-oliveira / aorun
  Deep Learning over PyTorch
  ☆62Updated 8 years ago
• fonfonx / WassersteinGAN.torch
  Torch implementation of Wasserstein GAN https://arxiv.org/abs/1701.07875
  ☆47Updated 8 years ago
• negrinho / deep_architect_legacy
  DeepArchitect: Automatically Designing and Training Deep Architectures
  ☆146Updated 6 years ago
• mathieuaubry / features_analysis
  Implementation of the approach described in "Understanding deep features with computer-generated imagery" , M. Aubry and B. Russell, ICCV…
  ☆21Updated 2 years ago
• ritchieng / wideresnet-tensorlayer
  Wide Residual Networks implemented in TensorLayer and TensorFlow.
  ☆44Updated 8 years ago
• erogol / StudyAdversarials
  Some of my experiments targeting adversarial instances
  ☆12Updated 8 years ago
• soravux / pytorch_tutorial
  Quick PyTorch introduction and tutorial. Targets computer vision, graphics and machine learning researchers eager to try a new framework.
  ☆109Updated 6 years ago
• wlwkgus / GibbsNet
  Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch
  ☆57Updated 7 years ago
• carpedm20 / paper-notes
  personal notes
  ☆55Updated 8 years ago
• hjweide / adversarial-autoencoder
  A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.
  ☆41Updated 9 years ago
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆60Updated 8 years ago
• jayanthkoushik / sgd-feedback
  ☆69Updated 6 years ago
• bigaidream-projects / drmad
  DrMAD
  ☆107Updated 7 years ago
• bastings / nn4nlp2017-code-pytorch
  Code Samples from Neural Networks for NLP
  ☆72Updated 8 years ago
• MrGemy95 / visual-interaction-networks-pytorch
  This's an implementation of deepmind Visual Interaction Networks paper using pytorch
  ☆165Updated 7 years ago
• rdevon / BGAN
  boundary-seeking generative adversarial networks
  ☆46Updated 7 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆41Updated 8 years ago