Alternatives and similar repositories for control-notes:

Users that are interested in control-notes are comparing it to the libraries listed below

• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 5 years ago
• paulorauber / pgm
  Probabilistic graphical models in python
  ☆22Updated 5 years ago
• lawrennd / old_talks
  Talks from Neil Lawrence
  ☆54Updated last year
• MauroCE / PythonBRMLtoolbox
  Python 3.7 version of David Barber's MATLAB BRMLtoolbox
  ☆24Updated 6 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆27Updated 4 years ago
• didriknielsen / ds3_abi_exercises
  Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018
  ☆22Updated 6 years ago
• gpschool / gpss18
  Gaussian Process and Uncertainty Quantification Summer School 2018
  ☆31Updated 2 years ago
• fonnesbeck / gp_tutorial_pydata
  PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3
  ☆15Updated 7 years ago
• DanielTakeshi / MCMC_and_Dynamics
  Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)
  ☆42Updated 4 years ago
• gpschool / gpss17
  Gaussian Process and Uncertainty Quantification Summer School 2017
  ☆26Updated 2 years ago
• thismlguy / easyML
  A Python Package for data processing and building ML models, primarily based on pandas and sklearn libraries.
  ☆17Updated 5 years ago
• chrisorm / pydata-2018
  ☆63Updated 6 years ago
• DiegoAE / BOSD
  ☆25Updated 4 years ago
• rfeinman / learning-to-learn
  Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).
  ☆21Updated 6 years ago
• curto2 / mckernel
  McKernel: A Library for Approximate Kernel Expansions in Log-linear Time.
  ☆13Updated 2 years ago
• jsyoon0823 / Clairvoyance
  Codebase for "Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series"
  ☆13Updated 4 years ago
• pgermain / PAC-Bayesian-Theory-Meets-Bayesian-Inference
  Code to related to my NIPS 2016 paper
  ☆10Updated 8 years ago
• taposh / forecast
  Forecasting library in python
  ☆13Updated 5 years ago
• slinderman / stats215
  ☆29Updated 4 years ago
• iurteaga / bandits
  Public repository for the work on bandit problems
  ☆23Updated 9 months ago
• sylvaincom / comparison-distributions
  [Python] Comparison of empirical probability distributions. Integral probability metrics (e.g. Kantorovich metric). f-divergences (e.g. K…
  ☆11Updated last year
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• hamaadshah / gan_tensorflow
  Automatic feature engineering using Generative Adversarial Networks using TensorFlow.
  ☆51Updated last year
• probml / bandits
  Bayesian Bandits
  ☆68Updated last year
• kevinzakka / learn-linalg
  Learning some numerical linear algebra.
  ☆71Updated 4 years ago
• cangermueller / ppca
  Probabilistic Principal Component Analysis
  ☆60Updated 7 years ago
• ig248 / deepquantiles
  Deep Continuous Quantile Regression and other experiments.
  ☆12Updated 4 years ago
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 3 years ago
• kmi010 / Time-series-cluster-kernel-TCK-
  Matlab implementation of TCK
  ☆12Updated 5 years ago
• JeanKossaifi / caltech-tutorial
  Material for my Caltech tutorial on deep learning and tensor methods
  ☆70Updated 6 years ago