aleximmer / heteroscedastic-nn
Code for "Effective Bayesian Heteroscedastic Regression with Deep Neural Networks" (NeurIPS 2023)
☆19Updated last week
Alternatives and similar repositories for heteroscedastic-nn:
Users that are interested in heteroscedastic-nn are comparing it to the libraries listed below
- A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…☆126Updated 2 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 2 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Updated 4 years ago
- ☆150Updated 2 years ago
- Regression datasets from the UCI repository with standardized test-train splits.☆44Updated 2 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆92Updated last week
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆17Updated 2 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆135Updated 2 years ago
- Tensorflow 2.x implementation of the beta-TCVAE (arXiv:1802.04942).☆16Updated 5 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆58Updated 4 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆86Updated 3 years ago
- Consistent Koopman Autoencoders☆71Updated last year
- Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series☆113Updated last year
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆45Updated last year
- Bayesian Neural Network in PyTorch☆84Updated 10 months ago
- A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.☆50Updated 5 years ago
- Experiments for Neural Flows paper☆94Updated 3 years ago
- Implementation of the Latent CCM paper☆14Updated 9 months ago
- Bayesian active learning with EPIG data acquisition☆28Updated last month
- Simple (and cheap!) neural network uncertainty estimation☆62Updated last month
- A toy example of VAE-regression network☆72Updated 4 years ago
- Master thesis for the MSc. Artificial Intelligence at the University of Amsterdam, 2019. Topic: Super-resolution with Conditional Normali…☆20Updated 9 months ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆91Updated 3 years ago
- A hello world Bayesian Neural Network project on MNIST☆43Updated 2 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆27Updated last year
- ☆10Updated 3 months ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆41Updated 8 months ago
- Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"☆22Updated last year
- Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'☆23Updated 2 years ago