Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)
☆49Dec 17, 2019Updated 6 years ago
Alternatives and similar repositories for dnn2gp
Users that are interested in dnn2gp are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Nov 10, 2020Updated 5 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆16Dec 30, 2022Updated 3 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Dec 19, 2018Updated 7 years ago
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆17Oct 21, 2020Updated 5 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Nov 29, 2022Updated 3 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.
- Variational Inference by Policy Search☆13Apr 24, 2019Updated 7 years ago
- Implementation of the Functional Neural Process models☆42Jul 17, 2020Updated 6 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆87Jul 19, 2020Updated 6 years ago
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆41Jan 4, 2022Updated 4 years ago
- ☆13Aug 15, 2024Updated 2 years ago
- Deep neural network kernel for Gaussian process☆210Sep 8, 2020Updated 6 years ago
- ☆16Apr 26, 2023Updated 3 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆149Oct 1, 2023Updated 3 years ago
- Repository for tutorial on Neural ODEs prepared for the UCL AI Society☆13Mar 7, 2021Updated 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 supplement for variational boosting (https://arxiv.org/abs/1611.06585)☆11Jul 24, 2017Updated 9 years ago
- Limitations of the Empirical Fisher Approximation☆50Mar 3, 2025Updated last year
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆37Nov 29, 2021Updated 4 years ago
- Modern Gaussian Processes: Scalable Inference and Novel Applications☆20Jul 13, 2019Updated 7 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆14Nov 26, 2019Updated 6 years ago
- A Chainer extension for K-FAC☆20Jun 16, 2019Updated 7 years ago
- Spectral-normalized Neural Gaussian Process (SNGP) implementation in PyTorch☆11Jan 19, 2022Updated 4 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Feb 24, 2020Updated 6 years ago
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆53Jul 25, 2021Updated 5 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.
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Mar 21, 2020Updated 6 years ago
- Code for AISTATS 2017 paper on "Conjugate-Computation Variational Inference"☆20Jul 10, 2020Updated 6 years ago
- A toolbox for inference of mixture models☆16May 29, 2023Updated 3 years ago
- Implementation of the variational continual learning method☆197May 7, 2019Updated 7 years ago
- IVON optimizer for neural networks based on variational learning.☆92Nov 7, 2024Updated last year
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Jun 21, 2019Updated 7 years ago
- Repository for Deterministic Particle Flow Control framework☆10Nov 13, 2022Updated 3 years ago
- Python library for real-time vote prediction☆11Mar 7, 2021Updated 5 years ago
- Uncertainty on Asynchronous Time Event Prediction (Spotlight, Neurips 2019)☆20Oct 8, 2020Updated 5 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.
- Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.☆23Jul 30, 2024Updated 2 years ago
- Official Implementation of "Transferring Inductive Biases Through Knowledge Distillation"☆16Jun 3, 2020Updated 6 years ago
- Deep Automodulators☆13Apr 2, 2022Updated 4 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆47Mar 27, 2018Updated 8 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆248Dec 3, 2019Updated 6 years ago
- Implementation of deep kernels in GPyTorch and Pyro☆13Jan 19, 2021Updated 5 years ago
- ☆25Aug 11, 2022Updated 4 years ago