Alternatives and similar repositories for neuro-kl:

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

• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 9 years ago
• shimazaki / density_estimation
  density_estimation
  ☆28Updated 6 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
• alextp / pylda
  An implementation of gibbs sampling for Latent Dirichlet Allocation
  ☆30Updated 13 years ago
• amueller / pystruct
  Simple structured learning framework for python
  ☆38Updated 8 years ago
• stephenbeckr / SparsifiedKMeans
  KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means
  ☆57Updated 4 years ago
• conda-forge / python-spams-feedstock
  A conda-smithy repository for python-spams.
  ☆23Updated 2 months ago
• jmikko / EasyMKL
  EasyMKL
  ☆16Updated 6 years ago
• rizalzaf / adversarial-multiclass
  Adversarial Multiclass Classification: A Risk Minimization Perspective
  ☆28Updated 4 years ago
• klingebj / regreg
  Python algorithms for regularized regression
  ☆24Updated 9 years ago
• FurongHuang / ConvDicLearnTensorFactor
  Tensor methods have emerged as a powerful paradigm for consistent learning of many latent variable models such as topic models, independe…
  ☆17Updated 8 years ago
• jhseu / nca
  Neighborhood Components Analysis in C++
  ☆38Updated 14 years ago
• arolet / wasserstein-dictionary-learning
  A matlab toolbox to perform Wasserstein Dictionary Learning or NMF
  ☆32Updated 8 years ago
• davidhallac / NetworkADMM
  ☆9Updated 9 years ago
• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 5 years ago
• cnmusco / graph-similarity-learning
  Algorithms for learning network structure from effective resistances and other random-walk-based similarities.
  ☆31Updated 6 years ago
• sunju / dl_focm
  Complete dictionary learning over the sphere using trust-region method
  ☆16Updated 8 years ago
• ushaham / RBMpaper
  experiments and datasets used for the paper "A Deep Learning Approach to Unsupervised Ensemble Learning"
  ☆20Updated 8 years ago
• KamitaniLab / VBCCA
  Variational Bayesian Canonical Correlation Analysis
  ☆30Updated 7 years ago
• pierreablin / faster-ica
  Several maximum likelihood ICA algorithms, including Picard
  ☆22Updated 7 years ago
• nwilming / ocupy
  A python toolbox for analyzing eye-tracking data.
  ☆18Updated 6 years ago
• wenli-vision / svmplus_matlab
  An implementation of SVM+
  ☆26Updated 8 years ago
• LCSL / NystromCoRe
  Rudi, A., Camoriano, R. and Rosasco, L., Less is more: Nyström computational regularization. In Advances in Neural Information Processing…
  ☆12Updated 5 years ago
• diana-hep / c2numpy
  Pure-header, no dependency C/C++ code to write Numpy files (.npy)
  ☆12Updated 7 years ago
• weilinear / PyRPCA
  Robust PCA in Python
  ☆37Updated 11 years ago
• Networks-Learning / mlss-2016
  MLSS 2016 material.
  ☆22Updated 8 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 7 years ago
• soumith / cuda-convnet2.torch
  Torch7 bindings for cuda-convnet2 kernels!
  ☆40Updated 8 years ago
• nitromannitol / stochastic-quasi-newton
  modular implementation of new algorithm
  ☆13Updated 10 years ago
• lucastheis / cmt
  Fast CPU implementations of several conditional probabilistic models
  ☆36Updated last year