Alternatives and similar repositories for neuro-kl:

Users that are interested in neuro-kl are comparing it to the libraries listed below

• 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
• pierreablin / faster-ica
  Several maximum likelihood ICA algorithms, including Picard
  ☆22Updated 7 years ago
• lucastheis / cmt
  Fast CPU implementations of several conditional probabilistic models
  ☆36Updated last year
• nitromannitol / stochastic-quasi-newton
  modular implementation of new algorithm
  ☆13Updated 10 years ago
• ahwillia / tensor-demo
  A quickstart guide to tensor decomposition
  ☆70Updated 2 years ago
• shimazaki / density_estimation
  density_estimation
  ☆28Updated 6 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆66Updated 7 years ago
• open-connectome-classes / StatConn-Spring-2015-Info
  introductory material
  ☆18Updated 9 years ago
• ZZUTK / Delay_Embedding
  Delay embedding for time series modeling and classification
  ☆16Updated 7 years ago
• mahehu / decmeg
  2nd place submission to the MEG decoding competition https://www.kaggle.com/c/decoding-the-human-brain
  ☆18Updated 10 years ago
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 10 years ago
• clementfarabet / lua---mattorch
  An interface between Torch and Matlab
  ☆30Updated 9 years ago
• mattjj / variational_autoencoder
  ☆8Updated 8 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• drasmuss / hessianfree
  Hessian-free optimization for deep networks
  ☆60Updated 7 years ago
• brian-lau / MatlabAUC
  Matlab code for the area under the receiver operating curve (AUC) and confidence intervals
  ☆15Updated 10 years ago
• KamitaniLab / VBCCA
  Variational Bayesian Canonical Correlation Analysis
  ☆30Updated 8 years ago
• brian-lau / highdim
  Statistics for high-dimensional data (homogeneity, sphericity, independence, spherical uniformity)
  ☆17Updated 11 months ago
• Networks-Learning / l1-ls.py
  L1 regularized Least Squares minimization problem solver.
  ☆17Updated 8 years ago
• conda-forge / python-spams-feedstock
  A conda-smithy repository for python-spams.
  ☆23Updated 5 months ago
• rdevon / cortex_old
  Cortex - Deep learning tools for neuroimaging
  ☆31Updated 7 years ago
• klingebj / regreg
  Python algorithms for regularized regression
  ☆24Updated 9 years ago
• rizalzaf / adversarial-multiclass
  Adversarial Multiclass Classification: A Risk Minimization Perspective
  ☆28Updated 5 years ago
• davidhallac / NetworkADMM
  ☆9Updated 9 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 5 years ago
• oir / soft-tree
  Soft Decision Trees (code for ICPR 21 paper)
  ☆32Updated 11 years ago
• jaanli / proximity_vi
  This code accompanies the proximity variational inference paper.
  ☆18Updated 6 years ago
• sunju / dl_focm
  Complete dictionary learning over the sphere using trust-region method
  ☆16Updated 9 years ago
• strin / DeepBayes
  Code for Max-Margin Deep Generative Models
  ☆12Updated 10 years ago