facebookresearch / neural_stppLinks
Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domains.
☆104Updated 3 years ago
Alternatives and similar repositories for neural_stpp
Users that are interested in neural_stpp are comparing it to the libraries listed below
Sorting:
- Experiments for Neural Flows paper☆97Updated 3 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆59Updated 10 months ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆74Updated 3 years ago
- Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)☆23Updated last year
- Implementation of the Convolutional Conditional Neural Process☆125Updated 4 years ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆118Updated 4 years ago
- Neural Graph Differential Equations (Neural GDEs)☆204Updated 4 years ago
- A Pytorch Implementation of Attentive Neural Process☆76Updated 6 years ago
- Code for Graph Normalizing Flows.☆63Updated 5 years ago
- This is the official source code for Sequential Neural Processes.☆40Updated 2 years ago
- Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…☆123Updated 2 years ago
- Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series☆118Updated 2 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆65Updated 4 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆61Updated 4 years ago
- Regularized Neural ODEs (RNODE)☆84Updated 4 years ago
- Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.☆20Updated 5 months ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- ☆44Updated 5 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆129Updated 11 months ago
- SetToGraph paper repository☆22Updated 4 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 5 years ago
- Official repository for "Categorical Normalizing Flows via Continuous Transformations"☆57Updated 4 years ago
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆38Updated 2 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Pytorch implementation of Neural Processes for functions and images☆232Updated 3 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆56Updated 3 years ago
- Pytorch implementation of neural processes and variants☆29Updated last year
- A minimal pytorch implementation of VAE, IWAE, MIWAE☆48Updated 2 years ago
- ☆20Updated 4 years ago