Alternatives and similar repositories for decmeg:

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

• drewabbot / kaggle-seizure-prediction
  ☆41Updated 10 years ago
• ZZUTK / Delay_Embedding
  Delay embedding for time series modeling and classification
  ☆16Updated 7 years ago
• bitsofbits / kaggle_grasp_and_lift_eeg_detection
  Code for Team HEDJs submission for Kaggle's Grasp and Lift EEG Detection Contest
  ☆15Updated 9 years ago
• slinderman / theano_pyglm
  Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…
  ☆44Updated 10 years ago
• alexandrebarachant / kaggle-seizure-prediction-challenge-2016
  Code and documentation for the winning solution to the Melbourne University AES/MathWorks/NIH Seizure Prediction challenge on kaggle
  ☆96Updated 8 years ago
• kswersky / k-stochastic-neighbor
  Code to accompany the paper "k-Stochastic Neighbor Embeddings for Supervised and Unsupervised Learning, ICML 2013".
  ☆27Updated 8 years ago
• ESAI-CEU-UCH / kaggle-epilepsy
  System positioned as 4th at Kaggle challenge in seizure epilepsy prediction (https://www.kaggle.com/c/seizure-prediction).
  ☆20Updated 10 years ago
• DeepLearningDTU / nvidia_deep_learning_summercamp_2016
  Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016
  ☆26Updated 8 years ago
• alexandrebarachant / DecMeg2014
  Code and documentation for the winning solution to the DecMeg2014 challenge https://www.kaggle.com/c/decoding-the-human-brain
  ☆49Updated 10 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆25Updated 7 years ago
• gmum / mlls2015
  Active Learning experiments for Machine Learning in Life Sciences Workshop ECML 2015
  ☆16Updated 8 years ago
• charlesmartin14 / emf-rbm
  Extended Mean Field Restricted Boltzmann Machine
  ☆16Updated 8 years ago
• banilo / nips2015
  ☆14Updated 9 years ago
• stupiding / kaggle_EEG
  ☆76Updated 9 years ago
• jmetzen / sparse-filtering
  Unsupervised feature learning based on sparse-filtering
  ☆55Updated 10 years ago
• fabianp / overview_optalgs
  ☆30Updated 4 years ago
• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 5 years ago
• DataNeel / nx2_cross_validation
  Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling
  ☆13Updated 10 years ago
• mackelab / autohmm
  Hidden Markov Models (HMMs) with tied states and autoregressive observations
  ☆23Updated 4 years ago
• jhseu / nca
  Neighborhood Components Analysis in C++
  ☆38Updated 15 years ago
• lucastheis / cmt
  Fast CPU implementations of several conditional probabilistic models
  ☆36Updated last year
• neurospin / pylearn-parsimony
  Structured Machine Learning in Python
  ☆46Updated 2 years ago
• arjoly / random-output-trees
  Randomized output tree for multilabel / multi-output regression tasks
  ☆23Updated 9 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 8 years ago
• JulienSiems / TensorFlow-Autoencoders
  Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder
  ☆29Updated 8 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
• rdevon / cortex_old
  Cortex - Deep learning tools for neuroimaging
  ☆31Updated 7 years ago
• haozhenWu / Calibrated-Boosting-Forest
  Original implementation of Calibrated Boosting-Forest
  ☆18Updated 7 years ago
• rizalzaf / adversarial-multiclass
  Adversarial Multiclass Classification: A Risk Minimization Perspective
  ☆28Updated 5 years ago
• cangermueller / vbmfa
  Variational Bayesian Mixture of Factor Analysers
  ☆24Updated 10 years ago