Alternatives and similar repositories for pSVM:

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

• abenton / wgcca
  Python Implementation of Weighted Generalized Canonical Correlation Analysis
  ☆33Updated 6 years ago
• BorisMuzellec / EllipticalEmbeddings
  Python code for implementing embeddings in the Wasserstein space of elliptical distributions
  ☆11Updated 4 years ago
• blei-lab / context-selection-embedding
  Context Selection for Embedding Models
  ☆27Updated 7 years ago
• steveli / gp-adapter
  Scalable GP Adapter for Time Series Classification
  ☆13Updated 7 years ago
• olddaos / KerasDeepWalk
  Building word embedding for large graphs by a set of random walks. Model learning is backed by Keras, which now supports TensorFlow or Th…
  ☆17Updated 9 years ago
• benathi / density-order-emb
  Density Order Embeddings
  ☆33Updated 5 years ago
• yning / nested_Multi_Instance_Learning
  ☆18Updated 7 years ago
• Bollegala / svdmi
  Common pre-processing in NLP such as PPMI computation, SVD-based dimensionality reduction, and PLSR-based distribution prediction.
  ☆24Updated 6 years ago
• d909b / ame
  🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of featu…
  ☆41Updated last year
• msobroza / SparsemaxPytorch
  SparseMax activation function implementation (ICML 2016) (PyTorch)
  ☆27Updated 7 years ago
• yaringal / acquisition_example
  Train a simple convnet on the MNIST dataset and evaluate the BALD acquisition function
  ☆16Updated 7 years ago
• jayhack / LSTMVRAE
  Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks
  ☆54Updated 8 years ago
• mandt-lab / adversarial-negative-sampling
  Code for paper by Bamler & Mandt, "Extreme Classification via Adversarial Softmax Approximation" (ICLR 2020)
  ☆14Updated 4 years ago
• zhegan27 / dpfa_icml2015
  The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"
  ☆19Updated 9 years ago
• ntumslab / AttriRank
  AttriRank - Unsupervised Ranking using Graph Structures and Node Attributes
  ☆22Updated 7 years ago
• sidak / context-mover-distance-and-barycenters
  Code accompanying our paper at AISTATS 2020
  ☆21Updated 4 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 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 7 years ago
• ChangUk / pyGibbsLDA
  Python Implementation of Collapsed Gibbs Sampling for Latent Dirichlet Allocation (LDA)
  ☆16Updated 9 years ago
• j-min / TensorFlow-Pointer-Networks
  TensorFlow implementation of Pointer Networks
  ☆12Updated 8 years ago
• ppontisso / Extreme-Multi-Label-Classification
  Introduction Notebook to Extreme Multi-Label Classification problem (XML)
  ☆22Updated 6 years ago
• dallascard / DWAC
  Deep Weighted Averaging Classifiers
  ☆23Updated 6 years ago
• chihkuanyeh / C2AE
  The implementation the paper 'Learning Deep Latent Spaces for Multi-Label Classifications' in AAAI 2017
  ☆27Updated 7 years ago
• sgiguere / RobinHood-NeurIPS-2019
  Implementation of safe offline bandit algorithms.
  ☆10Updated 5 years ago
• Networks-Learning / mlss-2016
  MLSS 2016 material.
  ☆22Updated 8 years ago
• mtsang / interaction_interpretability
  Feature Interaction Interpretability via Interaction Detection
  ☆34Updated last year
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆43Updated 6 years ago
• stephenbalaban / convnet
  ☆14Updated 10 years ago
• vchahun / yart
  Yet another regression toolkit
  ☆12Updated 11 years ago