xuesongwang / Neural-Process-FamilyLinks
☆11Updated 2 years ago
Alternatives and similar repositories for Neural-Process-Family
Users that are interested in Neural-Process-Family are comparing it to the libraries listed below
Sorting:
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 3 years ago
- ☆15Updated 2 years ago
- Uncertainty Quantification for Deep Spatiotemporal Forecasting☆23Updated 9 months ago
- Official PyTorch implementation of "Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics" (https://openreview.net/forum…☆51Updated 5 years ago
- Implementation of the Latent CCM paper☆15Updated last year
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆60Updated 4 years ago
- Implementation of the Convolutional Conditional Neural Process☆123Updated 4 years ago
- ☆23Updated 4 years ago
- Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domain…☆105Updated 3 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆95Updated 3 months ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- ☆14Updated 4 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆58Updated 9 months ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆19Updated 5 years ago
- Experiments for Neural Flows paper☆97Updated 3 years ago
- code for "Neural Jump Ordinary Differential Equations"☆30Updated 2 years ago
- Python3 implementation of the paper [Large-scale optimal transport map estimation using projection pursuit]☆15Updated 4 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆41Updated last year
- Pytorch implementation of neural processes and variants☆29Updated 11 months ago
- Learning Dynamical Systems that Generalize Across Environments☆20Updated 3 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆16Updated 2 years ago
- ☆23Updated 2 years ago
- VAEs and nonlinear ICA: a unifying framework☆35Updated 5 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Updated 4 years ago
- An encoder-decoder framework for learning from incomplete data☆45Updated last year
- PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…☆25Updated last year
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆25Updated last year