Alternatives and similar repositories for LUPI-SVM

Users that are interested in LUPI-SVM are comparing it to the libraries listed below

• analytique-bourassa / VAE-Classifier
  Variational Autoencoder and Classifier hybrid
  ☆28Updated 6 years ago
• mtsang / neural-interaction-detection
  Detecting Statistical Interactions from Neural Network Weights
  ☆49Updated 5 years ago
• giannisnik / som
  Pytorch implementation of a Self-Organizing Map
  ☆88Updated 6 years ago
• vlukiyanov / pt-sdae
  PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)
  ☆124Updated 4 years ago
• steveli / misgan
  MisGAN: Learning from Incomplete Data with GANs
  ☆82Updated last year
• adityac94 / Grad_CAM_plus_plus
  A generalized gradient-based CNN visualization technique
  ☆295Updated 6 years ago
• kedartatwawadi / EE378-LUPI
  Course Project for EE378A
  ☆12Updated 9 years ago
• cwehmeyer / pydpc
  Clustering by fast search and find of density peaks
  ☆62Updated 4 years ago
• dimkastan / PyTorch-Spectral-clustering
  [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
  ☆163Updated 7 years ago
• zqs1022 / interpretableCNN
  ☆226Updated 4 years ago
• mfbalin / Concrete-Autoencoders
  ☆119Updated 3 years ago
• josipd / torch-two-sample
  A PyTorch library for two-sample tests
  ☆242Updated 2 years ago
• johnwlambert / dlupi-heteroscedastic-dropout
  Deep Learning under Privileged Information Using Heteroscedastic Dropout (CVPR 2018, Official Repo)
  ☆38Updated 4 years ago
• sedelmeyer / wasserstein-auto-encoder
  A brief tutorial on the Wasserstein auto-encoder
  ☆83Updated 6 years ago
• jlsuarezdiaz / pyDML
  Distance Metric Learning Algorithms for Python
  ☆173Updated 4 years ago
• coolvision / vae_conv
  Convolutional variational autoencoder in PyTorch
  ☆46Updated 7 years ago
• ssarfraz / FINCH-Clustering
  Source Code for FINCH Clustering Algorithm
  ☆351Updated 3 months ago
• eolecvk / InfluenceFunctions
  Review and analysis of the ICML 2017 best paper: "Understanding Black-box Predictions via Influence Functions"
  ☆12Updated 7 years ago
• alvinwan / neural-backed-decision-trees
  Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
  ☆622Updated 2 years ago
• jacobgil / pytorch-explain-black-box
  PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation
  ☆338Updated 3 years ago
• wmkouw / libTLDA
  Library of transfer learners and domain-adaptive classifiers.
  ☆92Updated 6 years ago
• GT-RIPL / L2C
  Learning to Cluster. A deep clustering strategy.
  ☆316Updated 5 years ago
• uoguelph-mlrg / confidence_estimation
  Learning Confidence for Out-of-Distribution Detection in Neural Networks
  ☆275Updated 7 years ago
• bdsaglam / torch-scae
  PyTorch implementation of Stacked Capsule Auto-Encoders
  ☆40Updated last year
• MarcTLaw / DeepSpectralClusteringToy
  PyTorch implementation of Deep Spectral Clustering paper on a toy dataset
  ☆25Updated 7 years ago
• alimirzaei / TSFS
  Deep Feature Selection using Teacher Student Network
  ☆43Updated 6 years ago
• geifmany / selectivenet
  code for the ICML paper "SelectiveNet - A Deep Neural Network with an Integrated Reject Option"
  ☆46Updated 6 years ago
• ElementAI / causal_discovery_toolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆31Updated 5 years ago
• xinario / catgan_pytorch
  Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
  ☆61Updated 7 years ago
• domainadaptation / salad
  A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.
  ☆336Updated 4 years ago