lee-group-cmu / DeepCDE
Neural networks for conditional density estimation
☆12Updated 4 years ago
Alternatives and similar repositories for DeepCDE:
Users that are interested in DeepCDE are comparing it to the libraries listed below
- Implementation of Flexible Conditional Density Estimator☆22Updated 2 years ago
- Random Forests for Conditional Density Estimation☆41Updated 3 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆63Updated 2 months ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- Collection of resources from each meetup event☆13Updated 4 years ago
- A framework for composing Neural Processes in Python☆83Updated 3 months ago
- A normalizing flow using Bernstein polynomials for conditional density estimation.☆19Updated 5 months ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆124Updated 5 months ago
- Multivariate data modelling with Copulas in Python☆151Updated last month
- A Python library for vine copula models☆99Updated last month
- Package implementing various parametric and nonparametric methods for conditional density estimation☆194Updated 2 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆49Updated 3 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆58Updated 4 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆41Updated 8 months ago
- Code for Randomly Projected Additive Gaussian Processes☆25Updated 5 years ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 4 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆47Updated last year
- Library for Deep Gaussian Processes based on GPflow☆19Updated 5 years ago
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆135Updated 2 years ago
- Continual Gaussian Processes☆32Updated last year
- Neural Processes implementation for 1D regression☆65Updated 6 years ago
- Generalized additive model with pairwise interactions☆65Updated last year
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆149Updated 6 years ago
- Full Bayesian inference for neural networks using TensorFlow☆15Updated 3 years ago
- ☆28Updated 2 years ago
- Signax: Signature computation in JAX☆28Updated 2 months ago
- Deep Gaussian Processes in Python☆233Updated 3 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- Finding the conditional distributions of a Gaussian Mixture Model☆12Updated 5 years ago