Alternatives and similar repositories for CambridgeMathematicsPartIII:

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

• BB-UCL / autograd-forward
  Autograd extension for forward mode autodiff
  ☆30Updated 7 years ago
• imurray / chol-rev
  Backpropagate derivatives through the Cholesky decomposition
  ☆58Updated 4 years ago
• arahuja / hamiltonian-monte-carlo
  Implementation of Hamiltonian Monte Carlo using Google's TensorFlow
  ☆47Updated 9 years ago
• philipphennig / probabilistic-numerics.org
  This repository houses the code for the community website http://www.probabilistic-numerics.org
  ☆35Updated 4 years ago
• offconvex / offconvex.github.io
  Off the convex path
  ☆67Updated 2 years ago
• approximateinference / approximateinference.github.io
  NeurIPS workshop on Advances in Approximate Bayesian Inference
  ☆48Updated last week
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆32Updated 8 years ago
• diana-hep / carl
  Likelihood-free inference toolbox.
  ☆57Updated 7 years ago
• kuleshov / cs228-notes
  Lecture notes on probabilistic graphical modeling, based on Stanford CS228 (work in progress!)
  ☆31Updated 8 years ago
• shaunharker / CHomP
  CHomP -- Computation Homology Project software
  ☆46Updated last year
• stan-dev / nomad
  Fast autodiff.
  ☆19Updated 10 years ago
• colah / Motivated-Topology
  A topology textbook with a hubristic title
  ☆29Updated 9 years ago
• sancha / CS228T.2012
  The programming assignments from CS228T offered in Spring 2012 at Stanford
  ☆40Updated 12 years ago
• b45ch1 / algopy
  AlgoPy is a Research Prototype for Algorithmic Differentation in Python
  ☆83Updated 8 months ago
• alanedelman / 18.337_2015
  ☆30Updated 9 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• cranmer / active_sciencing
  active learning + reusable workflows + likelihood free inference
  ☆60Updated 7 years ago
• kkurach / math_learning
  Learning to Discover Efficient Mathematical Identities
  ☆48Updated 10 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 7 years ago
• davharris / mcmc-tutorial
  Tutorial introducing Monte Carlo integration and Markov Chain Monte Carlo
  ☆51Updated 12 years ago
• holdenlee / mathnotes
  ☆10Updated 9 years ago
• tensorprob / tensorprob
  A probabilistic programming framework based on TensorFlow
  ☆87Updated 5 years ago
• johannbrehmer / simulator-mining-example
  Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…
  ☆33Updated 5 years ago
• ernestyalumni / mathphysics
  Various notes and solutions on Math and Physics (and Mathematical Physics)
  ☆71Updated last year
• djour / PyBRML
  Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning
  ☆163Updated 9 years ago
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆72Updated 8 years ago
• jtauber / functional-differential-geometry
  working my way through Sussman and Wisdom's Functional Differential Geometry and implementing it in Python
  ☆45Updated 10 years ago
• davidbarber / AutoDiff
  Julia AutoDiff
  ☆28Updated 8 years ago
• tqchen / ML-SGHMC
  Experiment code for Stochastic Gradient Hamiltonian Monte Carlo
  ☆105Updated 7 years ago
• holdenlee / simons-ml
  Notes from Simons Institute program "Foundations of Machine Learning"
  ☆13Updated 7 years ago