MB-29 / neural-Gaussian-processLinks
A NumPy implementation of Lee et al., Deep Neural Networks as Gaussian Processes, 2018
☆16Updated 4 years ago
Alternatives and similar repositories for neural-Gaussian-process
Users that are interested in neural-Gaussian-process are comparing it to the libraries listed below
Sorting:
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆32Updated 3 years ago
- Multi-Information Source Optimization☆24Updated 6 years ago
- An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)☆41Updated 3 years ago
- Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.☆42Updated 4 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 6 years ago
- An encoder-decoder framework for learning from incomplete data☆45Updated last year
- Probabilistic PCA which is applicable also on data with missing values. Missing value estimation is typically better than NIPALS but also…☆15Updated 6 years ago
- A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.☆51Updated 5 years ago
- Learning error bars for neural network predictions☆70Updated 5 years ago
- implementations sde-net☆14Updated 4 years ago
- Contains legacy code and model examples for the paper "BayesFlow: Learning complex stochastic models with invertible neural networks"☆23Updated 4 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated 3 months ago
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago
- Pytorch implementation of "Inferring Causal Dependencies between Chaotic Dynamical Systems from Sporadic Time Series"☆9Updated 4 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- ☆51Updated 11 months ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 5 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆95Updated 3 months ago
- Experiments with Neural Ordinary Differential Equations on image and text classification tasks☆31Updated 6 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆28Updated 7 years ago
- TensorFlow Probability Tutorial☆37Updated 5 years ago
- Adaptive MCMC and CMA-ES Python code☆14Updated 5 years ago
- Deep neural network kernel for Gaussian process