Alternatives and similar repositories for CCM

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

• powerscorinne / GLRM
  ☆99Updated 7 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆45Updated 7 years ago
• jakevdp / lpproj
  Scikit-learn compatible Locality Preserving Projections in Python
  ☆95Updated 7 years ago
• aatapa / RLScore
  ☆68Updated last month
• TENGBINN / Bayes-by-Backprop
  TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper
  ☆51Updated 7 years ago
• bsharchilev / influence_boosting
  Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
  ☆68Updated last year
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 10 years ago
• cangermueller / ppca
  Probabilistic Principal Component Analysis
  ☆64Updated 8 years ago
• nlml / tsne_raw
  Implementation of Symmetric SNE and t-SNE in numpy and python
  ☆75Updated 4 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆67Updated 8 years ago
• LucaAmbrogioni / GP-CaKe-project
  Bayesian Effective Connectivity
  ☆54Updated 7 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆34Updated 10 years ago
• hyperopt / hyperopt-nnet
  Hyperparameter optimization for neural networks
  ☆48Updated 12 years ago
• kingfengji / eForest
  This is the official implementation for the paper 'AutoEncoder by Forest'
  ☆75Updated 7 years ago
• jameshensman / VFF
  Variational Fourier Features
  ☆86Updated 4 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆36Updated 4 years ago
• yhenon / pyrcc
  Python implementation of Robust Continuous Clustering
  ☆106Updated 6 years ago
• cthurau / pymf
  Python Matrix Factorization Module
  ☆138Updated 7 years ago
• karlnapf / kernel_goodness_of_fit
  Code for the paper "A Kernel Test of Goodness of Fit" by Kacper Chwialkowski, Heiko Strathmann, Arthur Gretton
  ☆25Updated 9 years ago
• jjfeng / spinn
  Sparse-input neural networks
  ☆23Updated 2 years ago
• ili3p / HORD
  Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
  ☆115Updated 8 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆48Updated 7 months ago
• karlnapf / ds3_kernel_testing
  Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"
  ☆26Updated 6 years ago
• jhseu / nca
  Neighborhood Components Analysis in C++
  ☆38Updated 15 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 7 years ago
• haozhenWu / Calibrated-Boosting-Forest
  Original implementation of Calibrated Boosting-Forest
  ☆18Updated 8 years ago
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆126Updated 7 months ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 8 years ago
• kingfengji / mGBDT
  This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .
  ☆104Updated 7 years ago
• maxpumperla / entropy-mdlp
  Minimum description length principle algorithm in Python, for optimal binning of continuous variables
  ☆61Updated 2 years ago