000Justin000 / torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
☆58Updated 4 years ago
Alternatives and similar repositories for torchdiffeq:
Users that are interested in torchdiffeq are comparing it to the libraries listed below
- Official code for the ICLR 2021 paper Neural ODE Processes☆70Updated 2 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆47Updated 4 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆57Updated 4 months ago
- Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series☆113Updated last year
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆37Updated 2 years ago
- code for "Neural Jump Ordinary Differential Equations"☆28Updated 2 years ago
- ☆29Updated last year
- Experiments for Neural Flows paper☆93Updated 3 years ago
- Python3 implementation of the paper [Large-scale optimal transport map estimation using projection pursuit]☆16Updated 3 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆46Updated last year
- Methods and experiments for assumed density SDE approximations☆11Updated 3 years ago
- Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domain…☆102Updated 3 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆92Updated 11 months ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated last year
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆169Updated 3 years ago
- Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)☆83Updated 4 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆88Updated 4 years ago
- ☆22Updated 3 years ago
- Pytorch implementation of RED-SDS (NeurIPS 2021).☆18Updated 3 years ago
- Refining continuous-in-depth neural networks☆39Updated 3 years ago
- Deep Generative ODE Modelling with Known Unknowns☆18Updated 3 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆44Updated 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☆23Updated 2 years ago
- ☆15Updated 2 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆41Updated 6 months ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆126Updated 5 months ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)☆23Updated last year
- ☆45Updated last year