Alternatives and similar repositories for learning-class-invariant-features:

Users that are interested in learning-class-invariant-features are comparing it to the libraries listed below

• awentzonline / pytorch-cns
  Generalized Compressed Network Search with PyTorch
  ☆26Updated 7 years ago
• blengerich / explainable-cnn
  Towards Visual Explanations for Convolutional Neural Networks via Input Resampling
  ☆13Updated 7 years ago
• shinseung428 / image_control_TF
  ☆13Updated 6 years ago
• asanakoy / cliquecnn
  Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792
  ☆23Updated 7 years ago
• paper-submissions / norm_matters
  ☆13Updated 6 years ago
• divelab / vqa-text
  ☆19Updated 5 years ago
• jramapuram / LifelongVAE
  Lifelong Variational Autoencoder
  ☆14Updated 7 years ago
• doerlbh / UnsupervisedAttentionMechanism
  Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".
  ☆21Updated 3 years ago
• lichengunc / mteqa
  Multi-Target Embodied Question Answering
  ☆11Updated 5 years ago
• Abhishaike / HyperProtoNetReproduce
  NeurIPS 2019 Paper Implementation
  ☆12Updated 2 years ago
• bartwojcik / lossgrad
  Implementation of the LOSSGRAD optimization algorithm
  ☆15Updated 5 years ago
• luuuyi / ShuffleNetV2_vs_MnasNet.PyTorch
  Contrast between ShuffleNet V2 and MnasNet.(Non-official implement In PyTorch)
  ☆12Updated 6 years ago
• anithapk / nn-compression
  ☆13Updated 7 years ago
• asvcode / 1_cycle
  A disciplined approach to neural network parameters - Reviewing the approach for setting Hyper parameters by Leslie Smith
  ☆11Updated 6 years ago
• asanakoy / deep_unsupervised_posets
  Deep Unsupervised Similarity Learning using Partially Ordered Sets (CVPR17)
  ☆20Updated 4 years ago
• singlasahil14 / loss-exps
  Experiments with different loss functions for image classification
  ☆20Updated 7 years ago
• arnupretorius / lindaedynamics_icml2018
  Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)
  ☆12Updated 6 years ago
• sacmehta / MSRSegNet
  MSRSegNet: Multi-Scale Residual Network for Semantic Segmentation
  ☆10Updated 6 years ago
• BayesWatch / deficient-efficient
  Successfully training approximations to full-rank matrices for efficiency in deep learning.
  ☆16Updated 4 years ago
• brekelma / echo
  Echo Noise Channel for Exact Mutual Information Calculation
  ☆17Updated 4 years ago
• cvjena / aid
  Automatic Query Image Disambiguation (AID)
  ☆11Updated 7 years ago
• AtheMathmo / AggMo
  Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018
  ☆34Updated 6 years ago
• foxlf823 / DilatedRnn
  A PyTorch implement of Dilated RNN
  ☆11Updated 7 years ago
• rarilurelo / tensorflow-synthetic_gradient
  ☆16Updated 8 years ago
• c-swm / c-swm
  This repository has moved to: https://github.com/tkipf/c-swm
  ☆27Updated 5 years ago
• AFAgarap / dl-relu
  Deep Learning using Rectified Linear Units (ReLU)
  ☆22Updated 5 months ago
• vinbhaskara / adams
  Exploiting Uncertainty of Loss Landscape for Stochastic Optimization
  ☆15Updated 5 years ago
• arthurdouillard / awesome-deeplearning-papers
  A collection of Deep Learning papers I read, sorted by category.
  ☆9Updated 6 years ago
• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆34Updated last year
• MadryLab / robustness_lib
  ☆12Updated 5 years ago