Alternatives and similar repositories for adenine:

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

• HHammond / kcbo
  A Bayesian testing framework written in Python.
  ☆94Updated 10 years ago
• twiecki / pydata_ninja
  The Path of the PyData Ninja
  ☆16Updated 9 years ago
• rhiever / active-categorical-classifier
  A tool that evolves small brains capable of scanning and classifying an image.
  ☆13Updated 8 years ago
• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 9 years ago
• EvoML / EvoML
  Using Genetic Algorithms to aid Machine Learning
  ☆18Updated 7 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 8 years ago
• fonnesbeck / pytenn2014_tutorial
  PyTennessee 2014: Statistical Data Analysis in Python
  ☆85Updated 10 years ago
• agramfort / sklearn_pandas_intro
  Introduction to Scikit-Learn and Pandas
  ☆16Updated 8 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 8 years ago
• glouppe / kaggle-marinexplore
  Code for the Kaggle Marinexplore challenge
  ☆17Updated 11 years ago
• jseabold / csc432-notebooks
  These are the IPython notebook files for the CSC 432 Spring '13 course.
  ☆23Updated 9 years ago
• chagaz / sfan
  Selecting features as (network) nodes
  ☆11Updated 6 years ago
• jonsedar / tsne_presentation
  Quick & dirty repo for hosting the Notebook for t-SNE presentation at delivered at Python Quants and PyData London meetups
  ☆9Updated 9 years ago
• isadoranun / tsfeat
  ☆10Updated 8 years ago
• m2dsupsdlclass / azure-deployment
  Deployment instructions to get a GPU VM for the Deep Learning class
  ☆17Updated 6 years ago
• thunder-project / thunder-regression
  algorithms for mass univariate regression
  ☆12Updated 6 years ago
• sujitpal / intro-dl-talk-code
  Jupyter notebooks and code for Intro to DL talk at Genesys
  ☆14Updated 8 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• mllite / sklearn_explain
  Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
  ☆13Updated 4 years ago
• DataNeel / nx2_cross_validation
  Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling
  ☆13Updated 10 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 8 years ago
• rezazadeh / spark
  Mirror of Apache Spark
  ☆24Updated 9 years ago
• open-machine-learning / mloss
  Machine Learning Open Source Software
  ☆23Updated 6 years ago
• erikson84 / BayesDataAnalysisWithPyMC
  Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"
  ☆64Updated 7 years ago
• mewwts / feng
  feng - feature engineering for machine-learning champions
  ☆27Updated 8 years ago
• HCsoft-RD / shaolin
  Data visualization and analysis library based on the pydata stack
  ☆19Updated 7 years ago
• GaelVaroquaux / my_topics
  Topics of conferences
  ☆12Updated 8 years ago
• rubik / sklearn-pdtransform
  Sklearn transformers that work with Pandas dataframes
  ☆12Updated 4 years ago
• drivendataorg / drivendata-submission-validator
  Simple validator for submissions to DrivenData competitions
  ☆19Updated 5 years ago
• ogrisel / spylearn
  Repo for experiments on pyspark and sklearn
  ☆79Updated 11 years ago