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:
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆15Dec 30, 2022Updated 3 years ago
- Laplace approximations for Deep Learning.☆537Apr 22, 2025Updated 11 months ago
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆20Jun 8, 2021Updated 4 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Mar 17, 2022Updated 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
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆52Jul 25, 2021Updated 4 years ago
- ☆18Oct 29, 2022Updated 3 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78May 18, 2022Updated 3 years ago
- Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"☆32Jul 25, 2024Updated last year
- ☆100Dec 8, 2021Updated 4 years ago
- ☆252Dec 27, 2022Updated 3 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆148Jun 2, 2023Updated 2 years ago
- ☆13May 19, 2021Updated 4 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,568Feb 2, 2026Updated last month
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆103Jul 6, 2023Updated 2 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆606Nov 28, 2025Updated 3 months ago
- Belief matching framework official implementation☆41Mar 24, 2023Updated 2 years ago
- Genetic Algorithm Feature Engineering☆15Oct 3, 2017Updated 8 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Jun 17, 2024Updated last year
- Style Transfer by Rigid Alignment in Neural Net Feature Space☆11Jan 23, 2021Updated 5 years ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆26Sep 15, 2025Updated 6 months ago
- ☆40Apr 7, 2020Updated 5 years ago
- Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.☆55May 5, 2023Updated 2 years ago
- An official PyTorch implementation of "Regression Prior Networks" for effective runtime uncertainty estimation.☆36Nov 19, 2020Updated 5 years ago
- Code accompanying the paper "Probabilistic Selection of Inducing Points in Sparse Gaussian Processes".☆25Dec 8, 2022Updated 3 years ago
- ☆428Aug 28, 2021Updated 4 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72May 18, 2024Updated last year
- Repository for tutorial on Neural ODEs prepared for the UCL AI Society☆13Mar 7, 2021Updated 5 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Aug 19, 2022Updated 3 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Mar 1, 2022Updated 4 years ago
- ☆10Sep 9, 2023Updated 2 years ago
- ☆23Apr 5, 2023Updated 2 years ago
- Official implementation of "Relational Proxies: Emergent Relationships as Fine-Grained Discriminators", NeurIPS 2022.☆14Feb 1, 2025Updated last year
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Dec 10, 2022Updated 3 years ago
- Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749☆26Aug 16, 2020Updated 5 years ago
- Code for Scalable Uncertainty for Computer Vision with Functional Variational Inference @ CVPR 2020☆68Jul 11, 2020Updated 5 years ago
- [KDD 2024] CAFO: Feature-Centric Explanation on Time Series Classification☆15Jun 17, 2024Updated last year
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆639Aug 1, 2022Updated 3 years ago
- A simple way to calibrate your neural network.☆1,167Jul 26, 2025Updated 7 months ago