tboquet / python-alp

Related projects ⓘ

Alternatives and complementary repositories for python-alp

• jmhessel / BasicSpearmint
  A simple tool for small scale experiments using bayesian optimization
  ☆35Updated 6 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• nouiz / nextml2015
  This repo contain the exercies of the Next.ML 2015 presentation
  ☆24Updated 9 years ago
• jwittenbach / aws-tensorflow-setup
  Install TensorFlow on AWS GPU-instance
  ☆28Updated 8 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆31Updated 8 years ago
• rgrosse / compositional_structure_search
  ☆46Updated 11 years ago
• galinngeorgiev / ACE
  code referenced in "Towards universal neural nets: Gibbs machines and ACE", Galin Georgiev, http://arxiv.org/abs/1508.06585
  ☆14Updated 9 years ago
• EvoML / evolved-forests
  Using GP and metafeatures to grow better forests for prediction.
  ☆10Updated 8 years ago
• albietz / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• DataNeel / nx2_cross_validation
  Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling
  ☆13Updated 9 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 8 years ago
• mila-iqia / picklable-itertools
  itertools. But picklable.
  ☆37Updated 9 years ago
• fgerzer / apsis
  ☆25Updated 2 years ago
• HIPS / hips-lib
  Library of common tools for machine learning research.
  ☆40Updated 7 years ago
• davidBelanger / tf-hypergrad
  simple example of gradient-based hyperparameter optimization using tensorflow
  ☆19Updated 8 years ago
• mrocklin / dasklearn
  Dask powered gridsearch and pipeline a la scikit-learn
  ☆42Updated 9 years ago
• nasimrahaman / antipasti-tf
  Antipasti-TF is a lightweight wrapper around Tensorflow for building convolutional neural networks with complex architechtures.
  ☆17Updated 7 years ago
• diogo149 / treeano
  more composable than other neural network libraries
  ☆42Updated 8 years ago
• arayabrain / SimplestGANBlogpostCode
  Code for the blog post on GAN stability
  ☆10Updated 8 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆27Updated 8 years ago
• kakauandme / TensorFlowMNIST
  Various neural networks on MNIST data using TensorFlow library
  ☆16Updated 8 years ago
• matpalm / rnn_lm
  various simple RNNs trained on synthetic grammars
  ☆30Updated 9 years ago
• cornelltech / snack
  Stochastic Neighbor and Crowd Kernel (SNaCK) embeddings: Quick and dirty visualization of large-scale datasets via concept embeddings
  ☆51Updated last year
• Smerity / tf-ham
  A partial TensorFlow implementation of "Learning Efficient Algorithms with Hierarchical Attentive Memory"
  ☆52Updated 8 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• erlendd / optomatic
  Efficient distributed hyperparameter search library written in Python.
  ☆75Updated 6 years ago