Alternatives and similar repositories for CambridgeMathematicsPartIII

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

• philipphennig / probabilistic-numerics.org
  This repository houses the code for the community website http://www.probabilistic-numerics.org
  ☆36Updated 5 years ago
• BRML / climin
  Optimizers for machine learning
  ☆183Updated 2 years ago
• imurray / chol-rev
  Backpropagate derivatives through the Cholesky decomposition
  ☆58Updated 5 years ago
• approximateinference / approximateinference.github.io
  NeurIPS workshop on Advances in Approximate Bayesian Inference
  ☆48Updated 5 months ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆33Updated 9 years ago
• djour / PyBRML
  Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning
  ☆163Updated 10 years ago
• sancha / CS228T.2012
  The programming assignments from CS228T offered in Spring 2012 at Stanford
  ☆40Updated 12 years ago
• HIPS / hips-lib
  Library of common tools for machine learning research.
  ☆41Updated 7 years ago
• stan-dev / nomad
  Fast autodiff.
  ☆20Updated 10 years ago
• jtauber / functional-differential-geometry
  working my way through Sussman and Wisdom's Functional Differential Geometry and implementing it in Python
  ☆44Updated 11 years ago
• cranmer / active_sciencing
  active learning + reusable workflows + likelihood free inference
  ☆61Updated 8 years ago
• sampsyo / ppl-intro
  probabilistic programming for PL folks
  ☆157Updated 4 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• arahuja / hamiltonian-monte-carlo
  Implementation of Hamiltonian Monte Carlo using Google's TensorFlow
  ☆46Updated 9 years ago
• probml / pmtkdata
  A collection of MATLAB data sets used by PMTK.
  ☆57Updated 11 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 8 years ago
• mauriziofilippone / preconditioned_GPs
  Preconditioning Kernel Matrices
  ☆15Updated 9 years ago
• blei-lab / publications
  The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).
  ☆72Updated 8 years ago
• xdata-skylark / libskylark
  Sketching-based Distributed Matrix Computations for Machine Learning
  ☆100Updated 7 years ago
• tbroderick / bnp_tutorial
  ☆30Updated 8 years ago
• offconvex / offconvex.github.io
  Off the convex path
  ☆67Updated 2 years ago
• dieterichlawson / admm
  ADMM on Apache Spark
  ☆31Updated 10 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• cvxgrp / cvxflow
  ☆67Updated 7 years ago
• mlubin / JuMPSupplement
  Repository containing supplementary materials and code for "JuMP: A Modeling Language for Mathematical Optimization"
  ☆27Updated 9 years ago
• rmgarnett / cse515t
  Materials for Bayesian Methods in Machine Learning Course
  ☆90Updated this week
• amzn / MXFusion
  Modular Probabilistic Programming on MXNet
  ☆104Updated 2 years ago
• mdeff / python_tour_of_data_science
  A Python Tour of Data Science
  ☆30Updated 7 years ago
• ryotat / mlss15
  ☆58Updated 9 years ago
• Sohl-Dickstein / Sum-of-Functions-Optimizer
  Implements SFO minibatch optimizer in Python and MATLAB, and reproduces figures from paper.
  ☆129Updated 4 years ago