Alternatives and similar repositories for control-notes:

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

• lawrennd / old_talks
  Talks from Neil Lawrence
  ☆54Updated last year
• kevinzakka / learn-linalg
  Learning some numerical linear algebra.
  ☆71Updated 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
• DanielTakeshi / MCMC_and_Dynamics
  Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)
  ☆42Updated 5 years ago
• gpeyre / 2017-ot-beginners
  Optimal Transport for Dummies - Code, slides and article
  ☆32Updated 7 years ago
• facebookresearch / dcem
  The Differentiable Cross-Entropy Method
  ☆126Updated 4 years ago
• ORF522 / companion
  Supporting material for Princeton ORF522
  ☆13Updated 4 months ago
• ngorbach / Variational_Gradient_Matching_for_Dynamical_Systems
  Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"
  ☆26Updated 6 years ago
• gpschool / gpss18
  Gaussian Process and Uncertainty Quantification Summer School 2018
  ☆31Updated 2 years ago
• ghliu / mean-field-fcdnn
  ☆28Updated 5 years ago
• slinderman / stats215
  ☆29Updated 5 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆95Updated 2 years ago
• paulorauber / pgm
  Probabilistic graphical models in python
  ☆23Updated 6 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆59Updated 4 years ago
• grasool / Gaussian-Processes
  Introduction to Gaussian Processes
  ☆29Updated 6 years ago
• taposh / forecast
  Forecasting library in python
  ☆13Updated 5 years ago
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆44Updated 6 years ago
• shz9 / csc2541-ml-project
  Modeling Uncertainty in RNNs for Time Series Forecasting
  ☆14Updated 7 years ago
• operalib / operalib
  Learning with operator-valued kernels
  ☆22Updated 2 years ago
• fabianp / overview_optalgs
  ☆30Updated 4 years ago
• slinderman / stats305c
  STATS305C: Applied Statistics III (Spring, 2023)
  ☆25Updated last year
• probml / JSL
  Jax SSM Library
  ☆49Updated 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
• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 5 years ago
• boschresearch / PR-SSM
  Python implementation of the PR-SSM.
  ☆51Updated 6 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆65Updated 5 years ago
• probml / probml-utils
  Utilities for probabilistic ML
  ☆34Updated last year
• ritchieng / eigenvectors-from-eigenvalues
  PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.
  ☆99Updated 3 years ago
• MauroCE / PythonBRMLtoolbox
  Python 3.7 version of David Barber's MATLAB BRMLtoolbox
  ☆24Updated 6 years ago