Alternatives and similar repositories for som:

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

• rakeshvar / stacked_denoising_auto_encoder
  Stacked Denoising Auto-Encoder in Theano. Using the mnist dataset.
  ☆14Updated 9 years ago
• ynd / cae.py
  Contractive Auto-Encoders in Numpy
  ☆29Updated 12 years ago
• jhseu / nca
  Neighborhood Components Analysis in C++
  ☆38Updated 14 years ago
• airanmehr / cssvm
  Cost-Sensitive Support Vector Machines
  ☆33Updated 8 years ago
• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 5 years ago
• nitromannitol / stochastic-quasi-newton
  modular implementation of new algorithm
  ☆13Updated 10 years ago
• tjanez / PyMTL
  PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…
  ☆44Updated 11 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• ushaham / RBMpaper
  experiments and datasets used for the paper "A Deep Learning Approach to Unsupervised Ensemble Learning"
  ☆20Updated 8 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆40Updated 7 years ago
• jhjacobsen / HierarchicalCNN
  ☆29Updated 7 years ago
• greentfrapp / doping
  Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
  ☆15Updated 6 years ago
• svishnu88 / pytorch
  All My Pytorch projects reside here
  ☆33Updated 7 years ago
• vktt / MRDNN-Py
  Manifold Regularized Deep Neural Networks written in Python using numpy and gnumpy to run on GPUs.
  ☆15Updated 7 years ago
• ZZUTK / Delay_Embedding
  Delay embedding for time series modeling and classification
  ☆16Updated 7 years ago
• ExtremeLearningMachines / ELM-LRF
  Local Receptive Fields Based Extreme Learning Machine
  ☆30Updated 9 years ago
• stephenbeckr / SparsifiedKMeans
  KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means
  ☆57Updated 4 years ago
• erogol / Random_Forests
  This is a very efficient Random Forests implementation for MATLAB based on low level "cart" tree implementation.
  ☆14Updated 6 years ago
• abhishek-kumar / NNForMLL
  Neural Network Models for Multi-label learning
  ☆17Updated 4 years ago
• piotrmirowski / Tutorial_AutoEncoders
  Tutorial code for Auto-Encoders, implementing Marc'Aurelio Ranzato's Sparse Encoding Symmetric Machine and testing it on the MNIST handwr…
  ☆36Updated 10 years ago
• yaringal / keras
  ☆12Updated 6 years ago
• lucastheis / deepbelief
  Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).
  ☆59Updated 13 years ago
• wuga214 / Boundary-Detection-via-Convolution-Deconvolution-Neural-Network-with-BMA
  Boundary-Detection-via-Convolution-Deconvolution-Neural-Network
  ☆14Updated 8 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆33Updated 8 years ago
• nlhepler / mrmr
  minimum Redundancy Maximum Relevance
  ☆21Updated 12 years ago
• mehmetgonen / bssml
  Bayesian (Semi-)Supervised Multilabel Learning
  ☆11Updated 6 years ago
• davidhallac / NetworkADMM
  ☆9Updated 9 years ago
• mmoussallam / bird
  Pure Python implementation of the BIRD algorithm for (structured)-sparsity based denoising of multichannel array
  ☆14Updated 4 years ago
• hycis / transfer_learning
  Mozi, Transfer Learning, Multi-Modal Learning, Theano
  ☆27Updated 8 years ago