Toolbox for IBP Coupled SPCM-CRP Hidden Markov Model. Also contains code for EM-based HMM learning and inference for Bayesian non-parametric HDP-HMM and IBP-HMM.
☆14Mar 21, 2019Updated 6 years ago
Alternatives and similar repositories for ICSC-HMM
Users that are interested in ICSC-HMM are comparing it to the libraries listed below
Sorting:
- The source code is related to our work- Shreyas Seshadri, Ulpu Remes and Okko Rasanen: "Dirichlet process mixture models for clustering i…☆10Aug 18, 2017Updated 8 years ago
- Deep Gaussian Process for Inverse Reinforcement Learning☆33Jul 6, 2017Updated 8 years ago
- Non-Linear Covariance Shrinkage☆14Jan 1, 2022Updated 4 years ago
- ☆22Jun 20, 2018Updated 7 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Sep 30, 2022Updated 3 years ago
- Python implementation of Association Rule Mining☆11Apr 26, 2024Updated last year
- Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.☆39Dec 19, 2022Updated 3 years ago
- Continual Gaussian Processes☆31Jul 6, 2023Updated 2 years ago
- This repository contains the code for simulating the growth of a Biofilm after attachment using Molecular dynamics simulation methods. Th…☆11May 21, 2021Updated 4 years ago
- This is a read-only mirror of the CRAN R package repository. dlm — Bayesian and Likelihood Analysis of Dynamic Linear Models☆10Sep 22, 2024Updated last year
- Transcribing long blocks of speech using Watson Speech To Text.☆11Sep 24, 2020Updated 5 years ago
- Portfolio optimization and index tracking for the FTSE index using genetic algorithm☆12Jan 13, 2018Updated 8 years ago
- C++ code and Python wrappers for Inference on Bayesian Non-Parametric Models☆12May 22, 2013Updated 12 years ago
- Forex Trend Finder App in React Native with Redux for Harvard CS50 Final Project☆10Dec 9, 2022Updated 3 years ago
- Using machine learning to improve simulations of a dynamical system☆10Apr 24, 2019Updated 6 years ago
- Inverse Reinforcement Learning, Inverse Optimal Control, Apprenticeship Learning, Imitation Learning review☆46Apr 27, 2021Updated 4 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Dec 8, 2022Updated 3 years ago
- Learning algorithm described in "A New PAC-Bayesian Perspective on Domain Adaptation" (see http://arxiv.org/abs/1506.04573)☆11Oct 30, 2018Updated 7 years ago
- ☆10Oct 12, 2021Updated 4 years ago
- [CoRL2023] Task Generalization with Stability Guarantees via Elastic Dynamical System Motion Policies☆11Oct 16, 2024Updated last year
- Portfolio Optimisation is a fundamental problem in Financial Mathematics.The objective of this project is to explore the applicability of…☆13Nov 10, 2020Updated 5 years ago
- Attentional Mechanism incorporated in Asynchronous Advantage Actor Critic a3c/a2c deep mind☆10Jan 9, 2018Updated 8 years ago
- Pytorch package for geometric softmax☆12Jun 13, 2019Updated 6 years ago
- Automatic script to parse bibtex to mardown to create manageable bibliography github repository. We take the example of continual learnin…☆11Nov 1, 2020Updated 5 years ago
- Neural variational inference and learning in undirected graphical models http://www.stanford.edu/~kuleshov/papers/nips2017.pdf☆17Apr 25, 2018Updated 7 years ago
- ☆11Nov 6, 2024Updated last year
- End-to-End Probabilistic Inference for Nonstationary Audio Analysis☆12Aug 7, 2019Updated 6 years ago
- ☆12Jun 1, 2019Updated 6 years ago
- Regularization Paths for Huber Loss Regression and Quantile Regression Penalized by Lasso or Elastic-Net☆10Nov 9, 2024Updated last year
- Experiments for ICML paper DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding, ICML 2018, T. Moreau, L. …☆12Jan 24, 2019Updated 7 years ago
- ☆10May 9, 2019Updated 6 years ago
- Code for simulations in "Computational mechanisms of curiosity and goal-directed exploration"☆10May 22, 2020Updated 5 years ago
- Applying the Trading Deep Q-Network algorithm (TDQN) on shares in the hydrogen sector.☆11Nov 11, 2020Updated 5 years ago
- This repo proves that sythtic dataset along with real world dataset can boost the performance of models for Pedestrian Intention Predicti…☆13Mar 24, 2025Updated 11 months ago
- Matlab Implementation of "The Hierarchical Hidden Markov Model: Analysis and Applications"☆22Aug 31, 2011Updated 14 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Nov 29, 2022Updated 3 years ago
- Bachelor thesis "Superpixel Segmentation using Depth Information", including a thorough comparison of several state-of-the-art superpixel…☆11Nov 28, 2018Updated 7 years ago
- This project is the Pytorch implementation version of State Frequency Memory Recurrent Network.☆10Sep 15, 2018Updated 7 years ago
- ☆14Feb 10, 2025Updated last year