Alternatives and similar repositories for fitted-learning:

Users that are interested in fitted-learning are comparing it to the libraries listed below

• pranv / ARC
  Code for Attentive Recurrent Comparators
  ☆57Updated 8 years ago
• yuandong-tian / ICML17_ReLU
  ☆29Updated 7 years ago
• soumith / mltrain-nips-2017
  This repository contains all the material for the MLTrain NIPS workshop
  ☆10Updated 7 years ago
• artix41 / AVO-pytorch
  Implementation of Adversarial Variational Optimization in PyTorch
  ☆43Updated 6 years ago
• ajbrock / BoilerPlate
  Odds and Ends and Things I've implemented.
  ☆78Updated 6 years ago
• AtheMathmo / AggMo
  Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018
  ☆34Updated 6 years ago
• baldassarreFe / zalando-pytorch
  Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando
  ☆31Updated 7 years ago
• jayanthkoushik / sgd-feedback
  ☆69Updated 6 years ago
• aleju / gan-error-avoidance
  Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)
  ☆23Updated 7 years ago
• tymokvo / AEGeAN
  Deeper DCGAN with AE stabilization
  ☆38Updated last year
• diux-dev / ncluster
  ☆36Updated 6 years ago
• pranv / lrh
  Learning RNN Hierarchies
  ☆44Updated 8 years ago
• masabdi / multi-resnet
  Multi-Residual Networks
  ☆23Updated 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
• gaohuang / DenseNet_lite
  A more memory efficient Torch implementation of "Densely Connected Convolutional Networks".
  ☆29Updated 7 years ago
• jhjacobsen / HierarchicalCNN
  ☆29Updated 7 years ago
• sliorde / generating-neural-networks-with-neural-networks
  Code that goes along with paper http://arxiv.org/abs/1801.01952
  ☆46Updated 7 years ago
• offbit / evo-design
  Code for my blog post "Design by Evolution"
  ☆21Updated 7 years ago
• kbullaughey / dni-synthetic-gradients
  Torch implementation reproducing MNIST experiments from DeepMind's DNI paper.
  ☆43Updated 8 years ago
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆59Updated 7 years ago
• kimhc6028 / forward-thinking-pytorch
  Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"
  ☆65Updated 7 years ago
• sanghoon / prediction_gan
  PyTorch Impl. of Prediction Optimizer (to stabilize GAN training)
  ☆31Updated 6 years ago
• HenryJia / InfoGAN
  InfoGAN Implementation in PyTorch
  ☆20Updated 7 years ago
• elanmart / psmm
  ☆49Updated 7 years ago
• neuralix / google_evolution
  ☆53Updated 8 years ago
• JasonBenn / nips-scraper
  Scrapes the abstracts to NIPS 2017 papers.
  ☆40Updated 7 years ago
• danielvarga / earth-moving-generative-net
  ☆31Updated 7 years ago
• lballes / msvag
  TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.
  ☆44Updated 6 years ago
• preddy5 / Residual-Learning-and-Stochastic-Depth
  Implementation of Residual Learning with Stochastic Depth http://arxiv.org/pdf/1603.09382v2.pdf
  ☆10Updated 8 years ago
• cranmer / poisson-convolution-sum
  Implements an infinite sum of poisson-weighted convolutions
  ☆26Updated 6 years ago