☆155Sep 1, 2019Updated 6 years ago
Alternatives and similar repositories for pybasicbayes
Users that are interested in pybasicbayes are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆579Jan 25, 2025Updated last year
- autoregressive plugin☆27Nov 3, 2022Updated 3 years ago
- ☆98Jun 28, 2018Updated 8 years ago
- some tools for gaussian linear dynamical systems☆90May 14, 2018Updated 8 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆87May 8, 2020Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A fork of Jurgen Vangael's Infinite HMM matlab code☆12Mar 14, 2014Updated 12 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆66Sep 19, 2017Updated 8 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Jan 7, 2021Updated 5 years ago
- Python implementation for Variational Bayesian Learning☆13Jan 23, 2014Updated 12 years ago
- ☆22Jul 15, 2025Updated last year
- Shape analysis of high-throughput data☆19Feb 24, 2016Updated 10 years ago
- Sampling via Moment Sharing☆11Jul 29, 2015Updated 10 years ago
- ☆16Mar 18, 2020Updated 6 years ago
- Normalization and difference calling for Next Generation Sequencing (NGS) data via joint multinomial modeling.☆11May 21, 2026Updated 2 months 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.
- Recurrent Switching Linear Dynamical Systems☆129Apr 30, 2023Updated 3 years ago
- Bayesian model averaging of an objective function over a model class using advanced MCMC techniques.☆16Jan 9, 2015Updated 11 years ago
- A library for hidden semi-Markov models with explicit durations☆89Aug 21, 2021Updated 4 years ago
- Variational Gaussian Process State-Space Models☆25Nov 10, 2015Updated 10 years ago
- An efficient and flexible sampler of the Pólya-Gamma distribution with a NumPy/SciPy compatible interface.☆28Apr 20, 2025Updated last year
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆45Oct 14, 2014Updated 11 years ago
- Interactive visualization tool for multiple volumes, meshes and points based on VTK. The app can be controlled with Python scripts (optio…☆11Mar 13, 2022Updated 4 years ago
- Online spike sorting methods in Julia☆12Apr 13, 2023Updated 3 years ago
- Matlab codepack for performing dimensionality reduction on neural data using TD-GPFA or GPFA.☆22Jul 30, 2017Updated 8 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Implementation of Hidden Markov Models in pymc3☆62Mar 9, 2017Updated 9 years ago
- Low-level primitives for collapsed Gibbs sampling in python and C++☆16Mar 27, 2024Updated 2 years ago
- We have moved to https://github.com/limix/limix.☆23Aug 29, 2017Updated 8 years ago
- Trajectory Variational Autoencoder baseline for Multi-Agent Behavior challenge 2022☆19May 23, 2022Updated 4 years ago
- Probabilistic Graphical Models in JAX☆18Oct 11, 2022Updated 3 years ago
- A GUI built on brainrender: visualise brain regions, neurons and labelled cells.☆12Nov 26, 2020Updated 5 years ago
- MountainLab is data processing, sharing and visualization software for scientists. It is built around MountainSort, spike sorting softwar…☆46Apr 30, 2019Updated 7 years ago
- ☆12Jul 16, 2023Updated 3 years ago
- Bayesian learning and inference for state space models☆711May 9, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,843Mar 18, 2024Updated 2 years ago
- Scikit-learn compatible estimation of general graphical models☆253Jun 23, 2026Updated 3 weeks ago
- Graduate topics course on learning discrete latent structure.☆66Dec 30, 2018Updated 7 years ago
- 🕝 Time-warped principal components analysis (twPCA)☆127Apr 14, 2021Updated 5 years ago
- Implementations of various online inference algorithms for LDA, with Python interface.☆21May 24, 2015Updated 11 years ago
- Closed-loop behavioral experiment toolkit using pose estimation of body parts.☆64Jul 1, 2023Updated 3 years ago
- Tensor Belief Propagation - algorithm for approximate inference in discrete graphical models☆12Feb 17, 2020Updated 6 years ago