french-paragon / BayesianNeuralNetwork-Tutorial-Metarepos
A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Bayesian Neural Networks - A Tutorial for Deep Learning Users"
☆115Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for BayesianNeuralNetwork-Tutorial-Metarepos
- PyTorch implementation of bayesian neural network [torchbnn]☆490Updated 3 months ago
- A hello world Bayesian Neural Network project on MNIST☆41Updated 2 years ago
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆531Updated 9 months ago
- ☆226Updated 4 years ago
- A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.☆50Updated 4 years ago
- ☆145Updated 2 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆202Updated 4 months ago
- ☆97Updated 3 years ago
- Regression datasets from the UCI repository with standardized test-train splits.☆36Updated 2 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆422Updated 2 months ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆186Updated 2 weeks ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆86Updated 4 years ago
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆127Updated last year
- Official code for the ICLR 2021 paper Neural ODE Processes☆71Updated 2 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆148Updated 2 years ago
- Bayesian Neural Network in PyTorch☆79Updated 6 months ago
- ☆56Updated last year
- A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…☆49Updated last year
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆170Updated 2 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆90Updated 8 months ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆55Updated 3 years ago
- Open-source framework for uncertainty and deep learning models in PyTorch☆304Updated last week
- Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series☆109Updated last year
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆420Updated last year
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆88Updated 6 months ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆17Updated last year
- Bayesian active learning with EPIG data acquisition☆25Updated 5 months ago
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆116Updated 10 months ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆268Updated 2 years ago
- Heterogeneous Multi-output Gaussian Processes☆51Updated 4 years ago