aleximmer / Laplace
Laplace approximations for Deep Learning.
☆471Updated this week
Related projects ⓘ
Alternatives and complementary repositories for Laplace
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆562Updated this week
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆426Updated 2 months ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆302Updated this week
- ☆235Updated last year
- Normalizing flows in PyTorch☆330Updated last month
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆187Updated 3 weeks ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆453Updated last year
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆542Updated 9 months ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆111Updated 2 years ago
- ☆145Updated 2 years ago
- Gaussian processes in JAX.☆461Updated 3 weeks ago
- Manifold-learning flows (ℳ-flows)☆230Updated 4 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆207Updated last month
- Normalizing flows in PyTorch☆848Updated last year
- Constrained optimization toolkit for PyTorch☆661Updated 2 years ago
- Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.☆527Updated this week
- Efficient PyTorch Hessian eigendecomposition tools!☆364Updated 8 months ago
- Large-scale, multi-GPU capable, kernel solver☆181Updated 4 months ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆284Updated 3 years ago
- A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…☆49Updated last year
- ☆537Updated 2 months ago
- Open-source framework for uncertainty and deep learning models in PyTorch☆305Updated this week
- ☆466Updated 3 months ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆268Updated 2 years ago
- Simple (and cheap!) neural network uncertainty estimation☆56Updated 2 months ago
- Hessian spectral density estimation in TF and Jax☆115Updated 4 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,449Updated last month
- PyTorch implementation of bayesian neural network [torchbnn]☆497Updated 3 months ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆179Updated 3 months ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆203Updated 5 months ago