Implementation of Bayesian PCA [Bishop][1999] And Bayesian Kernel PCA
☆13Jan 13, 2021Updated 5 years ago
Alternatives and similar repositories for BayesianPCA
Users that are interested in BayesianPCA are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Enhanced Portfolio Optimization (EPO)☆17Mar 5, 2024Updated 2 years ago
- A Rust library for the Hyperliquid API☆25Sep 19, 2024Updated last year
- ☆21Jul 17, 2024Updated last year
- Principal Component Analysis from a statistical perspective☆34Dec 24, 2018Updated 7 years ago
- Predictable Feature Analysis☆10Dec 1, 2014Updated 11 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Radio that switches stations during the day☆10Jun 27, 2023Updated 2 years ago
- Manifold-valued Image Restoration Toolbox☆14Aug 12, 2021Updated 4 years ago
- Minimal entropic value at risk (EVaR) portfolio construction under a Gaussian mixture model of returns.☆21May 8, 2024Updated last year
- ☆15Dec 8, 2022Updated 3 years ago
- Thinkscripts to pull call and option volume☆18Apr 28, 2020Updated 5 years ago
- Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.☆11Dec 15, 2022Updated 3 years ago
- Notebooks on Mangaki☆13Jan 29, 2022Updated 4 years ago
- A Linear Gaussian State Space Model (LGSSM) for pytorch, also known as a Linear Dynamical System (LDS)☆13May 17, 2021Updated 4 years ago
- Python implementation of Fourier Transform pricing methods for the European call option, including the Fast-Fourier transform method desc…☆19Apr 1, 2021Updated 4 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.
- The official repository for the paper Adversarial Inverse Reinforcement Learning for Market Making (2024) published and presented at the …☆33Dec 14, 2025Updated 3 months ago
- Pairs Trading using Co-integrated Cryptocurrency Pairs☆26May 22, 2020Updated 5 years ago
- ☆33Jan 30, 2023Updated 3 years ago
- This repository contains the codebase used in the research conducted for the paper titled "Benchmarking Cryptocurrency Forecasting Models…☆25Oct 24, 2024Updated last year
- My GitHub blog☆14Mar 30, 2021Updated 4 years ago
- Code for the NeurIPS 2021 paper "Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networkst"☆14Sep 12, 2022Updated 3 years ago
- Kernel PCA and Pre-Image Reconstruction☆18Dec 29, 2025Updated 2 months ago
- Mobile Network Traffic Forcasting using Milan's Telefonica mobile network data☆11Jul 16, 2022Updated 3 years ago
- This repository shows the application of PCA technique for risk factor modelling of financial securities.☆21Apr 29, 2020Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆27Oct 11, 2023Updated 2 years ago
- Package to build risk model for factor pricing model☆28Jul 26, 2024Updated last year
- ☆32Updated this week
- ☆36Aug 29, 2022Updated 3 years ago
- Variational Bayesian Model Selection for Mixture Distributions [Corduneanu&Bishop01][PRML 10.2.1]☆15Jun 12, 2020Updated 5 years ago
- Multifactor Sequential Disentanglement via Structured Koopman Autoencoders☆19Dec 2, 2024Updated last year
- Simple plugin to instantly transform broken English into working code and analysis in RStudio using Open AI's API☆23Apr 15, 2023Updated 2 years ago
- Variational Bayesian Mixture of Factor Analysers☆24Jan 24, 2015Updated 11 years ago
- Materials for Essentials for Data Science, a course of Statistics and Data Science master at Leiden University.☆38Mar 16, 2026Updated last week
- 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.
- Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases☆10Jan 17, 2020Updated 6 years ago
- Matplotlib animation from the Unknown Pleasures album cover (Joy Division)☆26Feb 27, 2021Updated 5 years ago
- A rewritten version of C++ Design Patterns and Derivatives Pricing coded in Python☆10Sep 16, 2019Updated 6 years ago
- Alle Ressourcen zum Udemy Kurs "Python für Data Science und Machine Learning"☆20May 21, 2019Updated 6 years ago
- Public implementation of ICML'19 paper "White-box vs Black-box: Bayes Optimal Strategies for Membership Inference"☆18May 28, 2020Updated 5 years ago
- ☆10Apr 8, 2017Updated 8 years ago
- Benchmark library for high-dimensional HPO of black-box models based on Weighted Lasso regression☆15Feb 15, 2026Updated last month