deepskies / DeeplyUncertain-PublicLinks
☆28Updated 2 years ago
Alternatives and similar repositories for DeeplyUncertain-Public
Users that are interested in DeeplyUncertain-Public are comparing it to the libraries listed below
Sorting:
- Bayesian Uncertainty Quantification by Deep Generative Model☆19Updated 5 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- A Python package for approximate Bayesian inference and optimization using Gaussian processes☆42Updated last year
- Utilities to perform Uncertainty Quantification on Keras Models☆119Updated last year
- Probabilistic Random Forest: A machine learning algorithm for noisy datasets☆129Updated last year
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated last year
- Vector Quantile Regression☆19Updated 6 months ago
- Probabilistic modeling of tabular data with normalizing flows.☆58Updated last month
- Implementations of Normalizing Flows in Pytorch/Pyro☆18Updated 5 years ago
- Conditional density estimation with neural networks☆34Updated 9 months ago
- Lectures on Bayesian statistics and information theory☆31Updated 5 months ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated last year
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆110Updated 2 years ago
- A framework for composing Neural Processes in Python☆86Updated 10 months ago
- Multivariate Gaussian distributions for Tensorflow.☆23Updated 5 years ago
- ☆155Updated 3 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆132Updated 4 years ago
- Inverting Solar Flare Observations with Invertible Neural Nets (with RADYN physics)☆13Updated 4 years ago
- Toy Examples of Conditional Density Estimation with Bayesian Normalizing flows☆21Updated 7 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 3 years ago
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".☆14Updated 2 years ago
- ☆65Updated last year
- Full Bayesian inference for neural networks using TensorFlow☆15Updated 4 years ago
- detecting anomalies in hyper suprime-cam images with generative adversarial networks☆11Updated 4 years ago
- Sequential Neural Likelihood☆42Updated 6 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago