Alternatives and similar repositories for An-Analysis-of-Single-Layer-Networks-in-Unsupervised-Feature-Learning

Users that are interested in An-Analysis-of-Single-Layer-Networks-in-Unsupervised-Feature-Learning are comparing it to the libraries listed below

• jwyang / JULE-Caffe
  Caffe version of code for our paper "Joint unsupervised learning of deep representations and image clusters"
  ☆16Updated 7 years ago
• singlasahil14 / orthogonal-convolution
  Github repo for my experiments with the orthogonal convolution idea
  ☆22Updated 7 years ago
• artix41 / AVO-pytorch
  Implementation of Adversarial Variational Optimization in PyTorch
  ☆43Updated 6 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆25Updated 7 years ago
• AtheMathmo / AggMo
  Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018
  ☆34Updated 6 years ago
• MatthieuCourbariaux / AdversarialGradient
  A very simple variant of adversarial training that yields excellent results on MNIST
  ☆12Updated 9 years ago
• cranmer / poisson-convolution-sum
  Implements an infinite sum of poisson-weighted convolutions
  ☆26Updated 6 years ago
• vfleaking / rnnprop
  RNNprop
  ☆36Updated 8 years ago
• Cyanogenoid / perm-optim
  [ICLR 2019] Learning Representations of Sets through Optimized Permutations
  ☆36Updated 6 years ago
• rarilurelo / tensorflow-synthetic_gradient
  ☆16Updated 8 years ago
• soumith / mltrain-nips-2017
  This repository contains all the material for the MLTrain NIPS workshop
  ☆10Updated 7 years ago
• mlresearch / v70
  Proceedings of ICML 2017
  ☆24Updated 2 years ago
• yuandong-tian / ICML17_ReLU
  ☆29Updated 8 years ago
• sbelharbi / learning-class-invariant-features
  Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".
  ☆12Updated 7 years ago
• ucla-vision / parle
  ☆38Updated 7 years ago
• grigorisg9gr / rocgan
  Chainer implementation of the paper Robust Conditional Generative Adversarial Networks
  ☆15Updated 4 years ago
• desimone / segmentation-models
  semantic image segmentation networks implemented in tensorflow
  ☆16Updated 8 years ago
• MaestroGraph / sparse-hyper
  Code for the paper "Learning sparse transformations through backpropagation"
  ☆43Updated 5 years ago
• ravidziv / Information-bottleneck
  Python implementation of the infomration bottleneck method (tishby et al, 1999)
  ☆36Updated 7 years ago
• frkl / active-learning
  Active learning for deep learning
  ☆19Updated 6 years ago
• cod3licious / simec-theano
  SimEc code relying on the theano library - check out the simec repo instead for keras based code!
  ☆10Updated 7 years ago
• blengerich / explainable-cnn
  Towards Visual Explanations for Convolutional Neural Networks via Input Resampling
  ☆13Updated 7 years ago
• shiyangdaisy23 / vqa-mxnet-gluon
  ☆16Updated 7 years ago
• vsuriya93 / Deep-Learning-for-Graph-Representations
  This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request
  ☆33Updated 8 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 10 years ago
• spro / sconce-python
  ☆16Updated 7 years ago
• erogol / StudyAdversarials
  Some of my experiments targeting adversarial instances
  ☆12Updated 8 years ago
• javiergonzalezh / dpp
  Python package to sample from determinantal point processes
  ☆18Updated 9 years ago
• DanielSlater / Net2Net
  numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641
  ☆53Updated 8 years ago
• mathieuaubry / features_analysis
  Implementation of the approach described in "Understanding deep features with computer-generated imagery" , M. Aubry and B. Russell, ICCV…
  ☆20Updated last year