Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'
☆26Mar 12, 2021Updated 5 years ago
Alternatives and similar repositories for bayesian-ntk
Users that are interested in bayesian-ntk are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Layered distributions using FLAX/JAX☆10Dec 13, 2020Updated 5 years ago
- ☆10Dec 17, 2019Updated 6 years ago
- Finding the conditional distributions of a Gaussian Mixture Model☆13Nov 10, 2019Updated 6 years ago
- Conditional Flow Matching using JAX☆13Jun 22, 2023Updated 2 years ago
- ☆13Nov 30, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆68Mar 15, 2019Updated 7 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Feb 17, 2021Updated 5 years ago
- ☆11Dec 9, 2020Updated 5 years ago
- Pytorch optimizers implementing Hilbert Constrained Gradient Descent☆19May 9, 2019Updated 7 years ago
- Public Repo for the paper "Overcoming The Spectral-Bias of Neural Value Approximation"☆11May 25, 2024Updated 2 years ago
- ☆14May 14, 2026Updated last week
- Python library for various computer vision problems with a focus on easy usage.☆18Jan 25, 2021Updated 5 years ago
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆35Dec 7, 2025Updated 5 months ago
- Code for the paper "Rational neural networks", NeurIPS 2020☆29Feb 15, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆16Nov 20, 2023Updated 2 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Mar 31, 2021Updated 5 years ago
- Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles. Published at Uncertainty in AI (UAI) 2020.☆11Aug 31, 2020Updated 5 years ago
- Introductory workshop on using deep neural networks for symbolic regression☆18Feb 8, 2026Updated 3 months ago
- ☆19Apr 5, 2024Updated 2 years ago
- ☆13Oct 12, 2020Updated 5 years ago
- Flow Contrastive Estimation (FCE) PyTorch Implementation on 2D data☆11May 20, 2022Updated 4 years ago
- Code for random Fourier features based on Rahimi and Recht's 2007 paper.☆59Dec 21, 2020Updated 5 years ago
- Implementation of deep kernels in GPyTorch and Pyro☆13Jan 19, 2021Updated 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.
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆15Dec 30, 2022Updated 3 years ago
- Official PyTorch implementation of "Energy-Based Contrastive Learning of Visual Representations", NeurIPS 2022 Oral Paper☆13Oct 2, 2022Updated 3 years ago
- Official Implementation of "AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorov…☆16Oct 10, 2025Updated 7 months ago
- Code used for experiments in https://arxiv.org/abs/2008.08601☆20Jun 1, 2021Updated 4 years ago
- ☆11Oct 15, 2025Updated 7 months ago
- source code and data☆15Jan 16, 2019Updated 7 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆39Apr 23, 2025Updated last year
- Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs (AAAI 2024)☆15Jul 30, 2024Updated last year
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Jul 23, 2020Updated 5 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.
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆79Oct 3, 2023Updated 2 years ago
- Bayesian Backprop RNN implementation pytorch https://arxiv.org/abs/1704.02798☆25Jan 23, 2018Updated 8 years ago
- Materials for the 2017 QMSS Python Workshop☆12Jun 22, 2017Updated 8 years ago
- ☆16Mar 3, 2023Updated 3 years ago
- Implementation of Rational Kolmogorov-Arnold Network (rKAN)☆21Jun 28, 2024Updated last year
- CLI app to automate assignment of on-call shifts via constraint solving by use of the OR-tools library.☆11Mar 12, 2023Updated 3 years ago
- Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019☆13Apr 25, 2019Updated 7 years ago