Alternatives and similar repositories for cabs

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

• negrinho / deep_architect_legacy
  DeepArchitect: Automatically Designing and Training Deep Architectures
  ☆146Updated 6 years ago
• MycChiu / fast-LayerNorm-TF
  Efficient layer normalization GPU kernel for Tensorflow
  ☆110Updated 8 years ago
• FlorianMuellerklein / Identity-Mapping-ResNet-Lasagne
  Reproduction of some of the results from 'Identity Mappings in Deep Residual Networks'
  ☆72Updated 9 years ago
• pranv / ARC
  Code for Attentive Recurrent Comparators
  ☆57Updated 8 years ago
• ducha-aiki / LSUVinit
  Reference caffe implementation of LSUV initialization
  ☆114Updated 7 years ago
• jhjin / flattened-cnn
  Flattened convolutional neural networks (1D convolution modules for Torch nn)
  ☆61Updated 10 years ago
• shreyassaxena / convolutional-neural-fabrics
  Architecture learning for CNN's
  ☆37Updated 8 years ago
• singlasahil14 / sortpool2d
  A new kind of pooling layer for faster and sharper convergence
  ☆76Updated 8 years ago
• CosmosShadow / DNI_Torch
  DNI(Decoupled Neural Interfaces using Synthetic Gradients) implementation with Torch
  ☆29Updated 9 years ago
• bigaidream-projects / drmad
  DrMAD
  ☆107Updated 7 years ago
• DanielSlater / Net2Net
  numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641
  ☆53Updated 9 years ago
• eladhoffer / bigBatch
  Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…
  ☆149Updated 8 years ago
• loudinthecloud / dpwa
  Distributed Learning by Pair-Wise Averaging
  ☆52Updated 7 years ago
• yingzha / Transforming-Autoencoders
  ☆25Updated 10 years ago
• apaszke / pytorch-dist
  ☆35Updated 8 years ago
• jayanthkoushik / sgd-feedback
  ☆69Updated 6 years ago
• TimSalimans / weight_norm
  Lasagne code for weight normalization
  ☆88Updated 9 years ago
• jhjacobsen / RFNN
  Structured Receptive Fields in Convolutional Neural Networks
  ☆47Updated 7 years ago
• Bihaqo / tf-memonger
  Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets
  ☆28Updated 9 years ago
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆60Updated 8 years ago
• beopst / dcn.tf
  Dynamic Capacity Networks using Tensorflow
  ☆52Updated 8 years ago
• vfleaking / rnnprop
  RNNprop
  ☆36Updated 8 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 8 years ago
• jotaf98 / curveball
  Second-order optimiser for deep networks
  ☆76Updated 6 years ago
• zergylord / oneshot
  ☆69Updated 8 years ago
• sixin-zh / mpiT
  MPI for Torch
  ☆61Updated 8 years ago
• kbullaughey / dni-synthetic-gradients
  Torch implementation reproducing MNIST experiments from DeepMind's DNI paper.
  ☆43Updated 8 years ago
• gyglim / dvn
  Reference implementation for Structured Prediction with Deep Value Networks
  ☆55Updated 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
• bshahr / torch-dngo
  Torch implementation of the Deep Network for Global Optimization (DNGO)
  ☆51Updated 9 years ago