Quantification of Uncertainties in Neural Networks
☆11Feb 25, 2026Updated 4 months ago
Alternatives and similar repositories for quinn
Users that are interested in quinn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Computational singular perturbation analysis library☆12Sep 11, 2025Updated 9 months ago
- ☆21Jan 4, 2023Updated 3 years ago
- Repository for the paper "Interpreting Temporal Graph Neural Networks with Koopman Theory"☆12Apr 7, 2026Updated 2 months ago
- ☆28May 4, 2026Updated 2 months ago
- Library for computing the Finite-time Lyapunov Exponents of 2D flows using xarray☆10Apr 25, 2022Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆42Mar 10, 2025Updated last year
- This is the repository for Fair Universe Uncertainty Challenge☆14Oct 30, 2025Updated 8 months ago
- Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere☆20Nov 18, 2022Updated 3 years ago
- A Python toolbox for Bayesian inference and generative sampling, implementing triangular transport maps from samples.☆16Feb 9, 2026Updated 4 months ago
- A Python library for training neural ODEs.☆25Feb 13, 2025Updated last year
- Python codes for studying predictability and data assimlation with a surface quasi-geostrophic turbulence model☆40May 15, 2026Updated last month
- How to predict extreme events in climate using rare event algorithms and modern tools of machine learning☆25Mar 27, 2025Updated last year
- Compute streamfunction, velocity potential and helmholtz decomposition from non-global wind data☆19Jun 14, 2020Updated 6 years ago
- ☆20Jun 26, 2025Updated last year
- 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.
- Pseudospectral Kolmogorov Flow Solver☆43Oct 24, 2023Updated 2 years ago
- Python 2D Navier-Stokes solver☆30Aug 4, 2025Updated 11 months ago
- Fractional White Noises for Neural Stochastic Differential Equations (NeurIPS 2022)☆16Nov 17, 2022Updated 3 years ago
- IGARSS 2024 Tutorial "A Practical Session on Deep Learning Advances for Monitoring and forecasting Natural Hazards"☆31Jul 7, 2024Updated last year
- Notes and practicals for my "Physics of the Climate System" lecture☆29Aug 13, 2024Updated last year
- Programmatically Interpretable Reinforcement Learning☆22May 20, 2021Updated 5 years ago
- Code and files related to random side projects☆21Jan 12, 2022Updated 4 years ago
- ☆33Apr 15, 2024Updated 2 years ago
- OceanBench - SSH edition☆22Feb 5, 2024Updated 2 years ago
- 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.
- Python package to compute Lyapunov exponents, covariant Lyapunov vectors (CLV) and adjoints of a dynamical systems.☆30Sep 11, 2025Updated 9 months ago
- Python libraries (NumPy-based) to perform model order reduction, clustering and data analysis for combustion and aerothermochemistry data☆14Jul 18, 2022Updated 3 years ago
- Software for training, running and analyzing a Deep Learning Earth System Model (DLESyM)☆38May 13, 2026Updated last month
- The central point of ongoing research regarding the usefulness of the large-scale atmospheric variability in the Mediterranean for foreca…☆29Nov 19, 2022Updated 3 years ago
- Use Gaussian processes to estimate CNN classification uncertainty☆12Mar 3, 2018Updated 8 years ago
- ¡AnDA! is a Python library for the Analog Data Assimilation.☆28Jan 6, 2022Updated 4 years ago
- ☆16Oct 21, 2022Updated 3 years ago
- Hands-on material for the quantum computing tutorial at Argonne National Laboratory (14-18 June 2021)☆17Jun 17, 2021Updated 5 years ago
- Mirror Diffusion Models, NeurIPS 2023☆33Dec 1, 2023Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- A predictive model of the turbulent burning velocity for planar and Bunsen flames over a wide range of conditions☆14Dec 27, 2022Updated 3 years ago
- ☆81Mar 17, 2025Updated last year
- QSPR-based machine learning for fuel property prediction☆19Aug 29, 2024Updated last year
- PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3☆14Nov 16, 2017Updated 8 years ago
- ☆30Jan 30, 2025Updated last year
- Non-Linear Dynamic Systems☆30Jul 3, 2021Updated 5 years ago
- Repository for project codes related to turbulence modelling.☆17Sep 30, 2024Updated last year