BatyaGG / Gaussian-Mixture-Models
Gaussian Mixture Model (GMM) and Gaussian Mixture Regression (GMR) implemented purely on numpy
☆64Updated 6 years ago
Alternatives and similar repositories for Gaussian-Mixture-Models:
Users that are interested in Gaussian-Mixture-Models are comparing it to the libraries listed below
- Gaussian Mixture Regression☆183Updated 2 months ago
- Task Parameterized Gaussian Mixture Model (TP-GMM) and Regression implemented purely on numpy☆31Updated 6 years ago
- Variational Dirichlet Process Gaussian Mixture Models☆28Updated 10 years ago
- Particle Filter Recurrent Neural Networks (AAAI 2020)☆76Updated 7 months ago
- Python implementation of the PR-SSM.☆52Updated 6 years ago
- A Machine learning toolbox containing algorithms for non-linear dimensionality reduction, clustering, classification and regression along…☆98Updated 4 years ago
- Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction☆43Updated 5 years ago
- This is a re-implementation and test on paper Deep Kalman Filter: https://arxiv.org/pdf/1511.05121.pdf☆17Updated 5 years ago
- Source code for "Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards" (CoRL 2018)☆13Updated 6 years ago
- Bayesian Gaussian mixture models in Python.☆64Updated last year
- Generic implementation of GP model☆8Updated 5 years ago
- An exploration of mixture density networks☆33Updated 7 years ago
- Hado van Hasselt's Reinforcement Learning Code☆10Updated 7 years ago
- ☆53Updated 7 years ago
- ☆24Updated 6 years ago
- learning task trajectories using Probabilistic Movement Primitives☆13Updated 7 years ago
- Online Change-point Detection Algorithm for Multi-Variate Data: Applications on Human/Robot Demonstrations.☆43Updated 7 years ago
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"☆40Updated 11 months ago
- Mixture Density Networks (MDN) implemented in PyTorch☆65Updated 4 years ago
- ☆21Updated 6 years ago
- Conditional Neural Movement Primitves☆20Updated 3 years ago
- A python implementation for PILCO algorithm for a robotic arm - tested on mujoco robotics environment☆12Updated 5 years ago
- Implementation of Probabilistic Movement Primitives☆21Updated 7 years ago
- An engine for probabilistic movement primitives for a Panda robot from Franka Emika.☆6Updated 4 years ago
- Affordance Learning for End-to-End Visuomotor Robot Control☆17Updated 5 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆17Updated 6 years ago
- This repository contains the code for GMR-based Gaussian process.☆23Updated 5 years ago
- Toolbox for IBP Coupled SPCM-CRP Hidden Markov Model. Also contains code for EM-based HMM learning and inference for Bayesian non-paramet…☆15Updated 5 years ago
- Code for "Meta-Learning Priors for Efficient Online Bayesian Regression" by James Harrison, Apoorva Sharma, and Marco Pavone☆54Updated 2 years ago
- ☆14Updated 6 years ago