Alternatives and similar repositories for Pythia

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

• ogrisel / spylearn
  Repo for experiments on pyspark and sklearn
  ☆79Updated 11 years ago
• sigopt / sigopt-sklearn
  SigOpt wrappers for scikit-learn methods
  ☆75Updated last year
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• mrocklin / dasklearn
  Dask powered gridsearch and pipeline a la scikit-learn
  ☆42Updated 9 years ago
• tboquet / python-alp
  a machine learning platform for teams
  ☆19Updated 7 years ago
• mokelly / wabbit_wappa
  Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.
  ☆101Updated 7 years ago
• baraldilorenzo / DL_tutorials
  ☆14Updated 9 years ago
• msegala / Kaggle-National_Data_Science_Bowl
  ☆15Updated 9 years ago
• BenjaminBossan / mink
  A neural network library based on tensorflow and with true sklearn compatibility.
  ☆11Updated 8 years ago
• Kaixhin / FGMachine
  Future Gadget Machine
  ☆68Updated 7 years ago
• mbeissinger / recurrent_gsn
  Deep Generative Stochastic Networks for Sequence Prediction
  ☆8Updated 2 years ago
• craffel / Lasagne-tutorial
  Adding an ipynb tutorial to Lasagne
  ☆53Updated 7 years ago
• amsqr / Allen_AI_Kaggle
  My solution for Kagge Allen AI Challenge ( 3rd place )
  ☆19Updated 9 years ago
• nouiz / nextml2015
  This repo contain the exercies of the Next.ML 2015 presentation
  ☆24Updated 10 years ago
• mewwts / feng
  feng - feature engineering for machine-learning champions
  ☆27Updated 8 years ago
• sigopt / sigopt-python
  Simple Python interface for the SigOpt API
  ☆70Updated last month
• ndronen / modeling
  Modules/scripts/utilities for modeling with various neural network frameworks.
  ☆25Updated 9 years ago
• kswersky / k-stochastic-neighbor
  Code to accompany the paper "k-Stochastic Neighbor Embeddings for Supervised and Unsupervised Learning, ICML 2013".
  ☆27Updated 8 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 8 years ago
• shashankg7 / Matrix-Factorization-GPU
  Large scale matrix factorization on GPU
  ☆19Updated 8 years ago
• satyenrajpal / RL_algos
  Reinforcement Learning Algorithms
  ☆14Updated 6 years ago
• erlendd / optomatic
  Efficient distributed hyperparameter search library written in Python.
  ☆75Updated 6 years ago
• banilo / nips2015
  ☆14Updated 9 years ago
• bwilbertz / kaggle_allen_ai
  kaggle allen ai competition
  ☆17Updated 9 years ago
• srikris / datascience-bowl
  National Data Science Bowl
  ☆20Updated 10 years ago
• fomorians / tfstage
  TFStage: TensorFlow Project Scaffolding
  ☆62Updated 5 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• jonathanstrong / tmetrics
  A collections of metrics and loss functions written in Theano.
  ☆14Updated 9 years ago
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆75Updated 5 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆33Updated 9 years ago