Alternatives and similar repositories for bayesian_regression

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

• bentaylordata / datascience
  Data science repo to help others
  ☆12Updated 9 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 9 years ago
• sigopt / sigopt-sklearn
  SigOpt wrappers for scikit-learn methods
  ☆75Updated 2 years ago
• dolaameng / pysax
  python implementation of SAX (Symbolic Aggregate Approximation) for time series data
  ☆45Updated 10 years ago
• HHammond / kcbo
  A Bayesian testing framework written in Python.
  ☆94Updated 10 years ago
• ogrisel / spylearn
  Repo for experiments on pyspark and sklearn
  ☆79Updated 11 years ago
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆46Updated 4 years ago
• fbkarsdorp / diachronic-text-analysis
  Diachronic text analysis in Python
  ☆27Updated 5 years ago
• szilard / xgboost-adv-workshop-LA
  Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016
  ☆27Updated 8 years ago
• pg2455 / U.S-Presidential-Speeches
  Textual Analysis of speeches using Google's Word2Vec Model
  ☆31Updated 5 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated 2 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• dmarx / Topological-Anomaly-Detection
  Topological Anomaly Detection (TAD) per Gartley and Basener 2009
  ☆68Updated 5 years ago
• civisanalytics / muffnn
  Multilayer Feed-Forward Neural Network predictive model implementations with TensorFlow and scikit-learn
  ☆45Updated 2 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 9 years ago
• slipguru / adenine
  ADENINE: A Data ExploratioN PipelINE
  ☆15Updated 7 years ago
• jseabold / csc432-notebooks
  These are the IPython notebook files for the CSC 432 Spring '13 course.
  ☆23Updated 10 years ago
• fastforwardlabs / hello_deep_learning
  Example scripts for various deep learning APIs.
  ☆28Updated 10 years ago
• wildtreetech / advanced-comp-2017
  💻 Material for a course on applied machine-learning for scientists. Taught at EPFL in spring 2017
  ☆23Updated 8 years ago
• springcoil / PyDataLondonTutorial
  PyDataLondonTutorial
  ☆26Updated 9 years ago
• erikson84 / BayesDataAnalysisWithPyMC
  Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"
  ☆65Updated 8 years ago
• DeloitteHux-Old / proficiency-metric
  ☆28Updated 9 years ago
• ognis1205 / spark-tda
  SparkTDA is a package for Apache Spark providing Topological Data Analysis Functionalities.
  ☆46Updated 7 years ago
• twiecki / pydata_docker_jupyterhub
  Docker container with a PyData stack and JupyterHub server
  ☆36Updated 9 years ago
• szilard / datascience-latency
  Latency numbers every data scientist should know (aka the pyramid of analytical tasks) - the order of magnitude of computational time for…
  ☆20Updated 8 years ago
• amueller / pydata-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 9 years ago
• zygmuntz / kaggle-happiness
  Predicting happiness from demographics and poll answers
  ☆45Updated 8 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆97Updated 5 months ago
• tdunning / anomaly-detection
  A simple demonstration of sub-sequence sampling as used for anomaly detection with EKG signals
  ☆103Updated 5 years ago
• pbstark / MX14
  Short course on nonparametric inference in auditing and litigation, XXIX Foro Internacional de Estadistica, Puebla, MX
  ☆15Updated 8 years ago