Alternatives and similar repositories for cca.pytorch

Users that are interested in cca.pytorch are comparing it to the libraries listed below

• moskomule / shampoo.pytorch
  An implementation of shampoo
  ☆77Updated 7 years ago
• lolemacs / soft-sharing
  Implementation of soft parameter sharing for neural networks
  ☆70Updated 4 years ago
• rdevon / cortex
  A machine learning library for PyTorch
  ☆94Updated 3 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 6 years ago
• holyseven / TransferLearningClassification
  Xuhong Li, Yves Grandvalet, and Franck Davoine. "Explicit Inductive Bias for Transfer Learning with Convolutional Networks." In ICML 2018…
  ☆56Updated 7 years ago
• ramprs / neuron-importance-zsl
  [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
  ☆57Updated 7 years ago
• liyu95 / SupportNet
  SupportNet: solving catastrophic forgetting in class incremental learning with support data
  ☆34Updated 6 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 6 years ago
• VITA-Group / Deep-K-Means-pytorch
  [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"
  ☆152Updated 3 years ago
• ruthcfong / net2vec
  Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks
  ☆30Updated 7 years ago
• wlwkgus / DeepSpectralClustering
  Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper
  ☆93Updated 7 years ago
• johnwlambert / dlupi-heteroscedastic-dropout
  Deep Learning under Privileged Information Using Heteroscedastic Dropout (CVPR 2018, Official Repo)
  ☆38Updated 4 years ago
• overshiki / kmeans_pytorch
  pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support
  ☆94Updated 7 years ago
• MSusik / Inhibited-softmax
  Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"
  ☆25Updated 6 years ago
• ucla-vision / information-dropout
  Implementation of Information Dropout
  ☆39Updated 8 years ago
• udibr / noisy_labels
  TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
  ☆119Updated 8 years ago
• moskomule / anatome
  Ἀνατομή is a PyTorch library to analyze representation of neural networks
  ☆66Updated 4 months ago
• ssp573 / Contrastive-Predictive-Coding
  ☆26Updated 6 years ago
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆88Updated 7 years ago
• ashafaei / OD-test
  OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)
  ☆62Updated 2 years ago
• apple / ml-capsules-inverted-attention-routing
  ☆124Updated 3 years ago
• nocotan / born_again_neuralnet
  Unofficial pytorch implementation of Born-Again Neural Networks.
  ☆56Updated 4 years ago
• CSAILVision / IBD
  IBD: Interpretable Basis Decomposition for Visual Explanation
  ☆52Updated 6 years ago
• icml-mcbn / mcbn
  ☆53Updated 7 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• arunmallya / piggyback
  Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
  ☆183Updated 6 years ago
• 1202kbs / Rectified-Gradient
  Official repository for "Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps".
  ☆34Updated 6 years ago
• kfzyqin / Research-Softmax-with-Mutual-Information
  Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".
  ☆101Updated 5 years ago
• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆54Updated 6 years ago
• lizhitwo / LearningWithoutForgetting
  Repository for the Learning without Forgetting paper, ECCV 2016
  ☆85Updated 5 years ago