brendanhasz / svi-gaussian-mixture-modelView external linksLinks
Notebook fitting a Bayesian Gaussian mixture model via stochastic variational inference w/ TensorFlow 2.0
☆14Jun 13, 2019Updated 6 years ago
Alternatives and similar repositories for svi-gaussian-mixture-model
Users that are interested in svi-gaussian-mixture-model are comparing it to the libraries listed below
Sorting:
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Jun 10, 2024Updated last year
- Data and code for Emotion Prediction Errors☆10Feb 22, 2022Updated 3 years ago
- How to detect language and translate text data into the language of your choice when working on a NLP project☆11Jan 13, 2021Updated 5 years ago
- DC Motor Tuning Using Fuzzy Logic And PID Controller☆11Oct 8, 2020Updated 5 years ago
- Kinematic and dynamic models of continuum and articulated soft robots.☆15Nov 22, 2025Updated 2 months ago
- [beta] An entry-level computational modeling workshop, developed for internal use at Brown University but hopefully useful to many!☆11Dec 16, 2020Updated 5 years ago
- ☆12Jan 11, 2020Updated 6 years ago
- Batch and incremental Sparse Spectrum Gaussian Process for Regression☆10Mar 16, 2021Updated 4 years ago
- state estimation for UAV, variational Bayesian adaptive Kalman filter, state augmentation.☆12May 7, 2022Updated 3 years ago
- Decentralised Energy Market☆12Feb 19, 2018Updated 7 years ago
- A python implementation of the COACH algorithm for the Cartpole problem in OpenAI gym.☆11Mar 15, 2019Updated 6 years ago
- 💳 ETL (Extract, Transform and Load) pipeline for calculating stats for a transactions database & testing the efficacy of a loyalty prog…☆10Apr 25, 2017Updated 8 years ago
- Evolutionary Game Theory Simulator☆10Jun 8, 2018Updated 7 years ago
- Default Bayesian hypothesis tests for correlation, partial correlation, and mediation☆11May 4, 2020Updated 5 years ago
- ☆11Feb 6, 2018Updated 8 years ago
- Active Learning of Abstract Plan Feasibility☆12Feb 10, 2023Updated 3 years ago
- Slides for the workshop Designing ggplots☆11Nov 21, 2021Updated 4 years ago
- Contains Colab Notebooks show cool use-cases of different GCP ML APIs.☆10Nov 5, 2020Updated 5 years ago
- Some Monte Carlo algorithms for the estimation of small probabilities associated with rare events☆11Aug 16, 2023Updated 2 years ago
- This uses HydroSphere to expose a Python machine learning preventive maintenance model for truck brake maintenance☆17Jan 23, 2026Updated 3 weeks ago
- a fuzzy expert system for auto-tuning PID algorithm☆12Mar 6, 2019Updated 6 years ago
- Multivariate Electricity Consumption Prediction with Extreme Learning Machine☆10Jun 25, 2018Updated 7 years ago
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in R. These scripts provide useful examples for using JA…☆13Oct 23, 2024Updated last year
- Documents that go into methodological detail regarding various statistical procedures.☆11Oct 20, 2018Updated 7 years ago
- Forecasting and anomaly detection of gas consumption☆10Aug 10, 2017Updated 8 years ago
- ☆12Jun 21, 2020Updated 5 years ago
- ROS integration for Franka Emika research robots in Cognitive Robotics TU Delft☆10Jan 18, 2023Updated 3 years ago
- Solving the misinformation problem in the information age using machine learning.☆10Dec 8, 2022Updated 3 years ago
- Gibbs-Sampling based Rauch-Tung-Striebel Smoother (Code for ACC 2011 paper)☆13Jul 11, 2016Updated 9 years ago
- Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.☆11Apr 22, 2020Updated 5 years ago
- A blockchain-based local energy market (LEM) simulation.☆10Jun 21, 2022Updated 3 years ago
- Predicting Supply Chain Risks Using Machine Learning: The Trade-off Between Performance and Interpretability - Supplementary Material☆14Mar 8, 2019Updated 6 years ago
- Temporal Predictive Coding For Model-Based Planning In Latent Space (ICML-2021)☆13Jul 22, 2024Updated last year
- Uncertainty sets for nonlinear dynamical systems☆10Nov 7, 2020Updated 5 years ago
- Teaching materials for BayesCog workshop, UKE Hamburg (Part 1).☆15Dec 4, 2023Updated 2 years ago
- CS234 Project, Winter 2019☆10Mar 20, 2019Updated 6 years ago
- Course Materials for Bayesian Psychometric Modeling☆15May 14, 2019Updated 6 years ago
- Generic Code for Cubature Kalman Filter and Fixed Interval Cubature Kalman Smoother.☆11Nov 27, 2019Updated 6 years ago
- MCMC simulation using Gibbs sampling.☆13Apr 8, 2022Updated 3 years ago