niklasnolte / MonotonicNetworks
☆46Updated 11 months ago
Alternatives and similar repositories for MonotonicNetworks
Users that are interested in MonotonicNetworks are comparing it to the libraries listed below
Sorting:
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆118Updated 4 months ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆42Updated 9 months ago
- ☆153Updated 2 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆103Updated last year
- Public dataset repository for the Causal Chamber Project☆35Updated 2 weeks ago
- Toolbox for working with streaming data as rough paths in Python☆36Updated 2 weeks ago
- Signax: Signature computation in JAX☆28Updated 3 months ago
- Keras implementation of the constrained monotonic neural networks☆39Updated 3 weeks ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- Normalizing Flows with a resampled base distribution☆46Updated 2 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆231Updated last year
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆119Updated last month
- Conformal prediction for time-series applications.☆114Updated last year
- A framework for composing Neural Processes in Python☆85Updated 4 months ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆169Updated 3 years ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆107Updated 2 months ago
- Our maintained PFN repository. Come here to train SOTA PFNs.☆82Updated last week
- Differentiable computations for the signature-PDE-kernel on CPU and GPU.☆54Updated 11 months ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆100Updated last year
- ☆48Updated 4 months ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆125Updated 7 months ago
- Agustinus' very opiniated publication-ready plotting library☆64Updated last week
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 3 years ago
- Simple (and cheap!) neural network uncertainty estimation☆65Updated last month
- Experiments for Neural Flows paper☆95Updated 3 years ago
- Codes for 'Stationary Activations for Uncertainty Calibration in Deep Learning' (NeurIPS 2020)☆11Updated 4 years ago
- Bayesian active learning with EPIG data acquisition☆31Updated 3 weeks ago
- Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distrib…☆26Updated 10 months ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year