Alternatives and similar repositories for data_tools

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

• martius-lab / l4-optimizer
  Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"
  ☆124Updated 6 years ago
• anderskm / exportTensorFlowLog
  Export TensorFlow logs to common easy to read formats (csv-files, png-images, ...)
  ☆28Updated 6 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
• lanpa / tensorboard-pytorch-examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆83Updated 6 years ago
• ermongroup / Sequential-Variational-Autoencoder
  Implementation of Sequential Variational Autoencoder
  ☆88Updated 7 years ago
• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 5 years ago
• RobRomijnders / bayes_nn
  Uncertainty interpretations of the neural network
  ☆32Updated 7 years ago
• kondiz / casme
  ☆72Updated 5 years ago
• lballes / msvag
  TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.
  ☆44Updated 7 years ago
• jhjacobsen / RFNN
  Structured Receptive Fields in Convolutional Neural Networks
  ☆47Updated 7 years ago
• orobix / Visual-Feature-Attribution-Using-Wasserstein-GANs-Pytorch
  Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch
  ☆93Updated 2 years ago
• RuiShu / micro-projects
  A collection of small code snippets for learning how to code
  ☆58Updated 7 years ago
• tfrerix / proxprop
  Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps
  ☆42Updated 6 years ago
• arunpatala / cifarSOTA
  Reviewing recent advances in classification on CIFAR 10 and 100 datasets
  ☆37Updated 7 years ago
• robertomest / convnet-study
  ☆35Updated 8 years ago
• maitek / waae-pytorch
  Wasserstein Adversarial Autoencoder Pytorch
  ☆27Updated 7 years ago
• rdevon / BGAN
  boundary-seeking generative adversarial networks
  ☆46Updated 7 years ago
• alykhantejani / nninit
  Weight initialization schemes for PyTorch nn.Modules
  ☆70Updated 8 years ago
• AshishBora / ambient-gan
  Code to reproduce results from the paper "AmbientGAN: Generative models from lossy measurements"
  ☆90Updated 7 years ago
• fvisin / main_loop_tf
  A main loop based on dataset loaders
  ☆15Updated 7 years ago
• jotaf98 / curveball
  Second-order optimiser for deep networks
  ☆76Updated 6 years ago
• bobchennan / Wasserstein-GAN-Keras
  Keras implementation of Wasserstein GAN. Modified from the ACGAN example.
  ☆39Updated 8 years ago
• Neoanarika / Implementing-the-PowerSign-and-AddSign-rule
  Implementing the update rule found in Neural Optimizer search with Reinforcement learning
  ☆12Updated 6 years ago
• kefirski / variational_dropout
  Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
  ☆49Updated 7 years ago
• rampage644 / wavenet
  WaveNet implementation with chainer
  ☆56Updated 7 years ago
• HapeMask / crfrnn_layer
  A Lasagne layer (and supporting Theano Ops) for the CRF-as-RNN layer.
  ☆49Updated 4 years ago
• greentfrapp / cond-shift-neurons
  Implementation of Conditionally Shifted Neurons by Munkhdalai et al. (https://arxiv.org/pdf/1712.09926.pdf)
  ☆28Updated 6 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 5 years ago
• bioinf-jku / coulomb_gan
  Implementation of Coulomb GANs
  ☆62Updated 3 years ago
• edouardoyallon / scalingscattering
  ☆81Updated 7 years ago