ajtulloch / CambridgeMathematicsPartIIILinks
☆70Updated 11 years ago
Alternatives and similar repositories for CambridgeMathematicsPartIII
Users that are interested in CambridgeMathematicsPartIII are comparing it to the libraries listed below
Sorting:
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆36Updated 5 years ago
- Backpropagate derivatives through the Cholesky decomposition☆59Updated 5 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- active learning + reusable workflows + likelihood free inference☆61Updated 8 years ago
- probabilistic programming for PL folks☆159Updated 4 years ago
- ☆17Updated 9 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆164Updated 10 years ago
- A probabilistic programming framework based on TensorFlow☆87Updated 6 years ago
- Optimizers for machine learning☆183Updated 2 years ago
- Modular Probabilistic Programming on MXNet☆104Updated 2 years ago
- NeurIPS workshop on Advances in Approximate Bayesian Inference☆50Updated 7 months ago
- Library of common tools for machine learning research.☆41Updated 8 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆46Updated 9 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- ☆30Updated 5 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 9 years ago
- Preconditioning Kernel Matrices☆15Updated 9 years ago
- Fast autodiff.☆20Updated 10 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Repository containing supplementary materials and code for "JuMP: A Modeling Language for Mathematical Optimization"☆27Updated 9 years ago
- Edward content including papers, posters, and talks☆92Updated 5 years ago
- Machine Learning in High Energy Physics 2016☆76Updated 6 years ago
- Likelihood-free inference toolbox.☆56Updated 8 years ago
- Julia AutoDiff☆28Updated 9 years ago
- Autograd extension for forward mode autodiff☆30Updated 8 years ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆72Updated 8 years ago
- ☆24Updated 9 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 11 years ago
- working my way through Sussman and Wisdom's Functional Differential Geometry and implementing it in Python☆45Updated 11 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 3 years ago