☆25Jun 19, 2020Updated 5 years ago
Alternatives and similar repositories for BOSD
Users that are interested in BOSD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Continual Gaussian Processes☆31Jul 6, 2023Updated 2 years ago
- ☆33Nov 2, 2018Updated 7 years ago
- ☆18Jun 11, 2020Updated 5 years ago
- Hierarchical Change-Point Detection☆15Oct 25, 2018Updated 7 years ago
- Conditional probability, conditional entropy, and mutual information estimation in Python. https://arxiv.org/abs/1907.00325☆12Oct 15, 2020Updated 5 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.
- Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)☆22Jun 22, 2021Updated 4 years ago
- Recyclable Gaussian Processes☆11Dec 8, 2022Updated 3 years ago
- ☆15Oct 7, 2019Updated 6 years ago
- Net Present Value (NPV) Simulation for Python☆15Aug 12, 2019Updated 6 years ago
- Gaussian Processes for Sequential Data☆19Dec 12, 2020Updated 5 years ago
- Modular Gaussian Processes☆16Dec 9, 2021Updated 4 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Oct 21, 2022Updated 3 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29May 30, 2019Updated 6 years ago
- [NeurIPS 2019 Spotlight] High dimensional mean estimation and outlier detection in nearly-linear time.☆26Oct 11, 2019Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Non-stationary spectral mixture kernels implemented in GPflow☆29Nov 30, 2018Updated 7 years ago
- Code and pretrained models accompanying the paper "Ensembling geophysical models using Bayesian Neural Networks"☆10Jul 11, 2022Updated 3 years ago
- A distributed method for fitting Laplacian regularized stratified models.☆25Mar 1, 2021Updated 5 years ago
- Implementation of Feature Saliency Hidden Markov Model (Adams, et al, 2016)☆13Dec 8, 2022Updated 3 years ago
- Deep Q-Networks in tensorflow☆10Apr 4, 2017Updated 9 years ago
- [Quantitative Finance 2019] Sovereign Risk Zones in Europe During and After the Debt Crisis☆12May 12, 2020Updated 5 years ago
- Nearest Neighbor Kernel Conditional Density Estimation☆12May 9, 2020Updated 5 years ago
- ☆19Dec 13, 2023Updated 2 years ago
- Robust bayesian online changepoint detection with model selection☆24Dec 1, 2018Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- An xVA quantitative library written in python using tensorflow☆18Apr 22, 2026Updated last week
- Differentiable Gaussian Process implementation for PyTorch☆22Jul 8, 2018Updated 7 years ago
- ☆24Aug 4, 2023Updated 2 years ago
- Code and supplementary material for "Automatic Bayesian Density Analysis", AAAI 19☆20Nov 21, 2018Updated 7 years ago
- Trellis is a Python framework for research into deep hedging☆23May 13, 2021Updated 4 years ago
- Streaming sparse Gaussian process approximations☆69Oct 5, 2022Updated 3 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆16Jul 9, 2018Updated 7 years ago
- Code from the paper "A signature-based machine learning model for bipolar disorder and borderline personality disorder".☆30Jul 6, 2023Updated 2 years ago
- Code for "Automatic repair of convex optimization problems".☆14Feb 4, 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.
- Toy Examples of Conditional Density Estimation with Bayesian Normalizing flows☆20Aug 29, 2018Updated 7 years ago
- Code repository of GreenABR for MMSys 2022 submission☆13Apr 6, 2022Updated 4 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆27Mar 29, 2019Updated 7 years ago
- Results of the "Ensembles of offline changepoint detection methods" research to reproduce☆44Aug 9, 2023Updated 2 years ago
- Building an Agent to Trade with Reinforcement Learning☆39Dec 29, 2025Updated 4 months ago
- Repo contains Jupyter notebooks compiled during my review of the programming books listed.☆13Mar 9, 2022Updated 4 years ago
- My recipes for doing continuous wavelet and biwavelet analysis.☆13Feb 4, 2022Updated 4 years ago