Alternatives and similar repositories for aftershocks_issues:

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

• sebp / scikit-learn-mpi-grid-search
  Performs nested cross-validation for scikit-learn classes using MPI for parallel computing.
  ☆41Updated 9 years ago
• genixpro / hypermax
  Better, faster hyper-parameter optimization
  ☆112Updated last year
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆286Updated 7 months ago
• Vooban / Hyperopt-Keras-CNN-CIFAR-100
  Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…
  ☆144Updated last year
• phoebemrdevries / Learning-aftershock-location-patterns
  Training, testing, evaluation codes for learning aftershock location patterns
  ☆57Updated 6 years ago
• sherpa-ai / sherpa
  Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
  ☆335Updated 4 years ago
• lacava / few
  a feature engineering wrapper for sklearn
  ☆51Updated 4 years ago
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆286Updated 7 months ago
• chrisorm / pydata-2018
  ☆64Updated 6 years ago
• arogozhnikov / infiniteboost
  InfiniteBoost: building infinite ensembles with gradient descent
  ☆184Updated 6 years ago
• PGM-Lab / InferPy
  InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
  ☆148Updated 6 months ago
• paris-saclay-cds / ramp-workflow
  Toolkit for building predictive workflows on top of pydata (pandas, scikit-learn, pytorch, keras, etc.).
  ☆70Updated last month
• levyben / DeepSuperLearner
  DeepSuperLearner - Python implementation of the deep ensemble algorithm
  ☆136Updated 6 years ago
• Laurae2 / CategoricalAnalysis
  Analysis of Categorical Encodings for dense Decision Trees
  ☆41Updated 7 years ago
• huanzhang12 / lightgbm-gpu
  Development Repository for GPU-accelerated GBDT training
  ☆60Updated 7 years ago
• fehiepsi / rethinking-pyro
  Statistical Rethinking with PyTorch and Pyro
  ☆162Updated 5 years ago
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆199Updated last year
• erlendd / covariate-shift-adaption
  An example of using a discriminator to correct for a difference in the distributions between the training and test data.
  ☆67Updated 8 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆226Updated 4 years ago
• Oracen-zz / MIDAS
  Multiple imputation utilising denoising autoencoder for approximate Bayesian inference
  ☆121Updated 4 years ago
• shunsukeaihara / pydtw
  Fast Imprementation of Dynamic Time Warping For Python
  ☆42Updated last year
• guillaume-chevalier / Hyperopt-Keras-CNN-CIFAR-100
  Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…
  ☆106Updated 6 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago
• shibuiwilliam / keras_gpyopt
  Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.
  ☆57Updated 6 years ago
• bhargavvader / pycobra
  python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
  ☆128Updated 4 years ago
• janvdvegt / KernelMixtureNetwork
  Kernel Mixture Network implementation with some minor tweaks
  ☆45Updated 7 years ago
• ericmjl / bayesian-deep-learning-demystified
  In which I try to demystify the fundamental concepts behind Bayesian deep learning.
  ☆123Updated 7 years ago
• yuvalatzmon / SACRED_HyperOpt_v2
  A collection of classes, methods and examples, to integrate SACRED experiment framework with hyperopt distributed training.
  ☆18Updated 5 years ago
• kylemcdonald / Parametric-t-SNE
  Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.
  ☆265Updated 5 years ago
• snakers4 / playing_with_vae
  Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
  ☆61Updated 6 years ago