code for stochastic expectation propagation
☆17Oct 30, 2015Updated 10 years ago
Alternatives and similar repositories for stochastic-EP
Users that are interested in stochastic-EP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Expectation Particle Belief Propagation code☆13Oct 8, 2018Updated 7 years ago
- ☆11Sep 15, 2015Updated 11 years ago
- Collaborative filtering with the GP-LVM☆25May 15, 2015Updated 11 years ago
- Experiments of amortized stein variational gradient☆17Apr 30, 2017Updated 9 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆35May 29, 2015Updated 11 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- LibCP -- A Library for Conformal Prediction☆13Feb 26, 2015Updated 11 years ago
- Bayesian Weight Uncertainty Dense Layer for Keras☆47Jan 5, 2017Updated 9 years ago
- Bayesian nonparametrics in Julia☆10Dec 2, 2016Updated 9 years ago
- ☆11Mar 25, 2021Updated 5 years ago
- A tensorflow implementation of VAE training with Renyi divergence☆32Sep 14, 2016Updated 10 years ago
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Feb 29, 2016Updated 10 years ago
- Files for Modern Statistical Workflow workshop☆10Jul 16, 2016Updated 10 years ago
- Some notebooks that I've shared.☆12Jun 17, 2018Updated 8 years ago
- Online machine learning algorithms (based on OLL C++ library)☆22Jun 29, 2017Updated 9 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆22Apr 2, 2015Updated 11 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆47Mar 27, 2018Updated 8 years ago
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆193Feb 12, 2019Updated 7 years ago
- Deep generative models for semi-supervised learning.☆109Nov 21, 2016Updated 9 years ago
- Variational and semi-supervised neural network toppings for Lasagne☆210Aug 25, 2016Updated 10 years ago
- Numerical renormalization group☆11Dec 20, 2017Updated 8 years ago
- Regression datasets from the UCI repository with standardized test-train splits.☆55Jul 19, 2022Updated 4 years ago
- Fast CPU implementations of several conditional probabilistic models☆37Oct 3, 2023Updated 2 years ago
- A collection of IPython Notebooks containing my research.☆20Aug 21, 2018Updated 8 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- SimEc code relying on the theano library - check out the simec repo instead for keras based code!☆10Feb 28, 2018Updated 8 years ago
- ☆13Aug 9, 2022Updated 4 years ago
- ☆23Mar 12, 2018Updated 8 years ago
- On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification☆21Apr 1, 2022Updated 4 years ago
- Code for Fast Information-theoretic Bayesian Optimisation☆16Jun 7, 2018Updated 8 years ago
- Implementation of Standard Gaussian Process Regression(GPR) and Sparse GPR in Matlab.☆13Mar 8, 2018Updated 8 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Dec 7, 2016Updated 9 years ago
- more composable than other neural network libraries☆42Aug 11, 2016Updated 10 years ago
- Experiments from "The Description Length of Deep Learning Models"☆10Aug 1, 2018Updated 8 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- various simple RNNs trained on synthetic grammars☆30Aug 8, 2015Updated 11 years ago
- Code for AISTATS 2017 paper on "Conjugate-Computation Variational Inference"☆20Jul 10, 2020Updated 6 years ago
- 2nd place submission to the AutoML competition - phase 1☆22Mar 2, 2015Updated 11 years ago
- Memory-Augmented Deep Unfolding Network for Compressive Sensing(ACMMM 2021)☆15Apr 1, 2022Updated 4 years ago
- A collection of Gaussian process models☆30Aug 17, 2017Updated 9 years ago
- customized GPflow with simple Tensorflow API☆17Aug 7, 2019Updated 7 years ago
- An MCMC algorithm for sampling continuous probability distributions in parallel☆20Feb 24, 2015Updated 11 years ago