Alternatives and similar repositories for ForwardThinking

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

• bigaidream-projects / drmad
  DrMAD
  ☆107Updated 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
• jayanthkoushik / sgd-feedback
  ☆69Updated 6 years ago
• neuralix / google_evolution
  ☆53Updated 8 years ago
• pemami4911 / awesome-hyperparams
  A curated list of awesome hyperparameters for deep learning
  ☆78Updated 8 years ago
• Enny1991 / PLSTM
  ☆138Updated 8 years ago
• amujika / Fast-Slow-LSTM
  ☆92Updated 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
• carpedm20 / paper-notes
  personal notes
  ☆55Updated 8 years ago
• pranv / ARC
  Code for Attentive Recurrent Comparators
  ☆58Updated 8 years ago
• martius-lab / l4-optimizer
  Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"
  ☆124Updated 6 years ago
• EderSantana / gumbel
  Gumbel-Softmax Variational Autoencoder with Keras
  ☆134Updated 8 years ago
• fastforwardlabs / vae-tf
  repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs
  ☆103Updated 8 years ago
• davidBelanger / tf-hypergrad
  simple example of gradient-based hyperparameter optimization using tensorflow
  ☆19Updated 9 years ago
• runopti / Learning-To-Learn
  TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"
  ☆84Updated 8 years ago
• singlasahil14 / sortpool2d
  A new kind of pooling layer for faster and sharper convergence
  ☆76Updated 8 years ago
• rdipietro / mist-rnns
  Mixed History Recurrent Neural Networks
  ☆47Updated 7 years ago
• phreeza / keras-GAN
  Generative Adversarial Networks with Keras
  ☆156Updated 5 years ago
• igul222 / mnist_generative
  Reasonably-okay-performing implementation of a GAN and an adversarial autoencoder on MNIST.
  ☆29Updated 9 years ago
• jsuarez5341 / Recurrent-Highway-Hypernetworks-NIPS
  Cleaned original source code from my NIPS publication
  ☆158Updated 7 years ago
• synpon / prog_nn
  A Quick and Dirty Progressive Neural Network written in TensorFlow.
  ☆51Updated 7 years ago
• 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
• jiamings / cramer-gan
  Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)
  ☆125Updated 7 years ago
• chrischoy / fully-differentiable-deep-ndf-tf
  Fully differentiable deep-neural decision forest in tensorflow
  ☆229Updated 8 years ago
• yuandong-tian / ICML17_ReLU
  ☆29Updated 8 years ago
• arahuja / generative-tf
  Generative Models with TensorFlow
  ☆30Updated 9 years ago
• alykhantejani / nninit
  Weight initialization schemes for PyTorch nn.Modules
  ☆70Updated 8 years ago
• jsikyoon / visual-interaction-networks_tensorflow
  Tensorflow Implementation of Visual Interaction Networks
  ☆131Updated 6 years ago