Last-layer Laplace approximation code examples
☆83Oct 18, 2021Updated 4 years ago
Alternatives and similar repositories for last_layer_laplace
Users that are interested in last_layer_laplace are comparing it to the libraries listed below
Sorting:
- Laplace approximations for Deep Learning.☆535Apr 22, 2025Updated 10 months ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆16Dec 30, 2022Updated 3 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Mar 17, 2022Updated 3 years ago
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆20Jun 8, 2021Updated 4 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78May 18, 2022Updated 3 years ago
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆52Jul 25, 2021Updated 4 years ago
- Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019☆14Apr 25, 2019Updated 6 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆147Jun 2, 2023Updated 2 years ago
- ☆252Dec 27, 2022Updated 3 years ago
- ☆100Dec 8, 2021Updated 4 years ago
- Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)☆16Updated this week
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆606Nov 28, 2025Updated 3 months ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆20Apr 22, 2022Updated 3 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,567Feb 2, 2026Updated 3 weeks ago
- Style Transfer by Rigid Alignment in Neural Net Feature Space☆11Jan 23, 2021Updated 5 years ago
- MATLAB wrapper to the QPBO algorithm by V. Kolmogorov☆11Jun 12, 2015Updated 10 years ago
- Code for the paper "Distinguishing the Knowable from the Unknowable with Language Models"☆11Apr 15, 2024Updated last year
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆73May 18, 2024Updated last year
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆141Feb 16, 2018Updated 8 years ago
- Hessian trace estimation using PyTorch and Hutch++☆20Oct 29, 2020Updated 5 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆103Jul 6, 2023Updated 2 years ago
- An official PyTorch implementation of "Regression Prior Networks" for effective runtime uncertainty estimation.☆36Nov 19, 2020Updated 5 years ago
- ☆10Sep 9, 2023Updated 2 years ago
- A way to achieve uniform confidence far away from the training data.☆38Apr 16, 2021Updated 4 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆61Nov 10, 2023Updated 2 years ago
- Tools for examining the causal structure of artificial neural networks with information theory☆24Oct 28, 2020Updated 5 years ago
- Random feature latent variable models in Python☆23Jul 23, 2023Updated 2 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Jun 17, 2024Updated last year
- ☆23Apr 5, 2023Updated 2 years ago
- 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
- Belief matching framework official implementation☆41Mar 24, 2023Updated 2 years ago
- Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.☆24Jun 23, 2020Updated 5 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Mar 1, 2022Updated 4 years ago
- Code accompanying the paper "Probabilistic Selection of Inducing Points in Sparse Gaussian Processes".☆25Dec 8, 2022Updated 3 years ago
- Experiments in protein folding through language modeling☆10Dec 10, 2021Updated 4 years ago
- Accelerating Transfer Learning with Robust Neural Nets☆11Oct 2, 2020Updated 5 years ago
- ☆10Nov 1, 2019Updated 6 years ago
- [ICAIF 2024] Official implementation of "Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Mean-Vari…☆19Oct 21, 2025Updated 4 months ago
- Codebase for Learning Invariances in Neural Networks☆96Oct 7, 2022Updated 3 years ago