Alternatives and similar repositories for ram_modified

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

• 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
• pfnet-research / chainer-ADDA
  Adversarial Discriminative Domain Adaptation in Chainer
  ☆24Updated 7 years ago
• jlindsey15 / RAM
  Recurrent Visual Attention Model
  ☆135Updated 6 years ago
• musyoku / LSGAN
  Chainer implementation of Least Squares GAN (LSGAN)
  ☆53Updated 8 years ago
• seann999 / tensorflow_mnist_ram
  An attempt to implement the recurrent attention model (RAM) from "Recurrent Models of Visual Attention" (Mnih+ 2014)
  ☆43Updated 4 years ago
• lrjconan / deep_parsimonious
  Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016
  ☆14Updated 5 years ago
• brain-research / long-term-video-prediction-without-supervision
  Implementation of Hierarchical Long-term Video Prediction without Supervision
  ☆89Updated 3 years ago
• thuyen / signal
  Signal Processing Library for PyTorch
  ☆39Updated 8 years ago
• TimSalimans / weight_norm
  Lasagne code for weight normalization
  ☆88Updated 9 years ago
• rarilurelo / batch_renormalization
  ☆12Updated 8 years ago
• jotaf98 / curveball
  Second-order optimiser for deep networks
  ☆76Updated 6 years ago
• edouardoyallon / scalingscattering
  ☆82Updated 7 years ago
• alykhantejani / nninit
  Weight initialization schemes for PyTorch nn.Modules
  ☆70Updated 8 years ago
• richzhang / splitbrainauto
  Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.
  ☆140Updated 7 years ago
• victor-shepardson / alpha-GAN
  pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv prepri…
  ☆80Updated 7 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
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆60Updated 8 years ago
• chrisdonahue / sdgan
  Official implementation of "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks"
  ☆95Updated 7 years ago
• yuandong-tian / ICML17_ReLU
  ☆29Updated 8 years ago
• gaohuang / DenseNet_lite
  A more memory efficient Torch implementation of "Densely Connected Convolutional Networks".
  ☆29Updated 8 years ago
• clvrai / Generative-Latent-Optimization-Tensorflow
  Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research
  ☆95Updated 7 years ago
• amasky / ram
  Recurrent Models of Visual Attention (RAM) with Chainer
  ☆44Updated 8 years ago
• cameronfabbri / LSGANs-Tensorflow
  Least Squares GANs in Tensorflow
  ☆17Updated 8 years ago
• jwyang / lr-gan.pytorch
  Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"
  ☆151Updated 4 years ago
• guojunq / glsgan
  Generalized Loss-Sensitive Generative Adversarial Networks (GLS-GAN)
  ☆46Updated 8 years ago
• jhkim89 / PyramidNet
  Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).
  ☆131Updated 7 years ago
• MichaelMathieu / factors-variation
  Code of the paper `Disentangling factors of variation in deep representations using adversarial training` by Mathieu, Zaho, Ramesh, Sprec…
  ☆21Updated 8 years ago
• leelabcnbc / cnnvis-pytorch
  visualization of CNN in PyTorch
  ☆155Updated last year
• Smerity / search_iclr_2018
  ☆79Updated 7 years ago
• gyglim / dvn
  Reference implementation for Structured Prediction with Deep Value Networks
  ☆55Updated 8 years ago