Alternatives and similar repositories for tftables

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

• 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
• tkchris93 / ForwardThinking
  Forward Thinking NIPS 2017
  ☆106Updated 7 years ago
• ramon-oliveira / aorun
  Deep Learning over PyTorch
  ☆61Updated 8 years ago
• martius-lab / l4-optimizer
  Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"
  ☆124Updated 6 years ago
• rmst / chi
  A high-level framework for advanced deep learning with TensorFlow
  ☆54Updated 7 years ago
• kuleshov / tf-wgan
  Wasserstein DCGAN in Tensorflow/Keras
  ☆93Updated 8 years ago
• neuralix / google_evolution
  ☆53Updated 8 years ago
• fastforwardlabs / vae-tf
  repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs
  ☆103Updated 8 years ago
• jn2clark / nn-iterated-projections
  Neural network training using iterated projections.
  ☆90Updated 8 years ago
• bremen79 / cocob
  TensorFlow implementation of COCOB
  ☆95Updated 2 years ago
• panweihit / DropNeuron
  DropNeuron: Simplifying the Structure of Deep Neural Networks
  ☆59Updated 9 years ago
• jayanthkoushik / sgd-feedback
  ☆69Updated 6 years ago
• amujika / Fast-Slow-LSTM
  ☆92Updated 8 years ago
• negrinho / deep_architect_legacy
  DeepArchitect: Automatically Designing and Training Deep Architectures
  ☆147Updated 5 years ago
• Britefury / batchup
  Python library for extracting mini-batches of data from a data source for the purpose of training neural networks
  ☆87Updated 6 years ago
• keunwoochoi / residual_block_keras
  Residual network block in Keras
  ☆72Updated 8 years ago
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆60Updated 8 years ago
• mailmahee / pytorch-generative-adversarial-networks
  simple generative adversarial network (GAN) using PyTorch
  ☆32Updated 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
• hadim / keras-toolbox
  Your every day Keras toolbox.
  ☆76Updated 7 years ago
• TimSalimans / weight_norm
  Lasagne code for weight normalization
  ☆88Updated 9 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆34Updated 9 years ago
• raviqqe / tensorflow-qnd
  Quick and Dirty TensorFlow command framework to train and evaluate models and make inference
  ☆55Updated 6 years ago
• alykhantejani / nninit
  Weight initialization schemes for PyTorch nn.Modules
  ☆70Updated 8 years ago
• aosokin / biogans
  Implementation of "GANs for Biological Image Synthesis"
  ☆95Updated 7 years ago
• carpedm20 / paper-notes
  personal notes
  ☆55Updated 8 years ago
• hardmaru / resnet-cppn-gan-tensorflow
  Using Residual Generative Adversarial Networks and Variational Auto-encoder techniques to produce high resolution images.
  ☆125Updated 9 years ago
• bigsnarfdude / SELU_Keras_Tutorial
  Keras based Tutorials and implementations for "Self-normalizing networks" - new activation function SELU
  ☆48Updated 3 years ago
• tdeboissiere / DeepLearningBenchmarks
  ☆33Updated 8 years ago
• phreeza / keras-GAN
  Generative Adversarial Networks with Keras
  ☆156Updated 4 years ago