niklasnolte / MonotonicNetworksLinks
☆55Updated last year
Alternatives and similar repositories for MonotonicNetworks
Users that are interested in MonotonicNetworks are comparing it to the libraries listed below
Sorting:
- ☆155Updated 3 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆125Updated this week
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆240Updated last year
- A framework for composing Neural Processes in Python☆88Updated 11 months ago
- Our maintained PFN repository. Come here to train SOTA PFNs.☆121Updated 2 months ago
- Conformal prediction for time-series applications.☆130Updated 2 years ago
- Regression datasets from the UCI repository with standardized test-train splits.☆49Updated 3 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆465Updated last year
- Simple (and cheap!) neural network uncertainty estimation☆78Updated 2 months ago
- Gaussian processes in JAX and Flax.☆561Updated last week
- Multi-Output Gaussian Process Toolkit☆184Updated 6 months ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆460Updated 3 months ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 3 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆241Updated last year
- Conformalized Quantile Regression☆295Updated 3 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated last year
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆227Updated last year
- The tiniest of Gaussian Process libraries☆327Updated last week
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆117Updated last month
- Generalized additive model with pairwise interactions☆66Updated last year
- Keras implementation of the constrained monotonic neural networks☆46Updated 7 months ago
- Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning☆209Updated this week
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- ☆48Updated 10 months ago
- A Bayesian optimization toolbox built on TensorFlow☆242Updated last month
- Signax: Signature computation in JAX☆37Updated 10 months ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆92Updated 9 months ago
- Codes for 'Stationary Activations for Uncertainty Calibration in Deep Learning' (NeurIPS 2020)☆11Updated 5 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago