PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)
☆48Nov 5, 2020Updated 5 years ago
Alternatives and similar repositories for continuous-time-flow-process
Users that are interested in continuous-time-flow-process are comparing it to the libraries listed below
Sorting:
- Code, data, and pre-trained models for the paper "Continuous Latent Process Flows" (NeurIPS 2021)☆13Dec 13, 2021Updated 4 years ago
- A minimal working example of Free-Form Jacobian of Reversible Dynamics☆15Dec 24, 2019Updated 6 years ago
- We got a stew going!☆27Oct 3, 2023Updated 2 years ago
- code for "Neural Jump Ordinary Differential Equations"☆31Feb 16, 2023Updated 3 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆25Dec 19, 2022Updated 3 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆22Jun 15, 2021Updated 4 years ago
- Nonparametric Differential Equation Modeling☆56Mar 5, 2024Updated last year
- Pytorch implementation of Recurrent Neural Processes https://arxiv.org/pdf/1906.05915.pdf☆22Aug 6, 2019Updated 6 years ago
- Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…☆47Sep 21, 2023Updated 2 years ago
- Toy Examples of Conditional Density Estimation with Bayesian Normalizing flows☆20Aug 29, 2018Updated 7 years ago
- ☆68Oct 13, 2022Updated 3 years ago
- ☆10Feb 10, 2023Updated 3 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Jun 21, 2021Updated 4 years ago
- Pytorch implementation of GRU-ODE-Bayes☆234May 26, 2022Updated 3 years ago
- ☆15Jul 6, 2023Updated 2 years ago
- Experiment with Neural ODE on Pytorch☆14Aug 9, 2019Updated 6 years ago
- Volatility Decomposition of Asset Price Time Series☆11May 5, 2019Updated 6 years ago
- Deep Structured Energy Based Model☆11Jan 6, 2018Updated 8 years ago
- ☆10Jul 16, 2020Updated 5 years ago
- Attentive Co-Evolving Neural Ordinary Differential Equations☆30Oct 16, 2023Updated 2 years ago
- Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.☆20Mar 15, 2025Updated 11 months ago
- Materials for a proposed Causal Inference Tutorial session at SciPy 2023☆12Jul 8, 2023Updated 2 years ago
- Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)☆62Dec 28, 2024Updated last year
- Regularized Neural ODEs (RNODE)☆81Jul 16, 2021Updated 4 years ago
- ☆33Aug 5, 2023Updated 2 years ago
- State-space deep Gaussian processes in Python and Matlab☆30Jun 12, 2022Updated 3 years ago
- PyTorch implementation for OCT-GAN Neural ODE-based Conditional Tabular GANs (WWW 2021)☆15Oct 10, 2022Updated 3 years ago
- Hierarchical Change-Point Detection☆15Oct 25, 2018Updated 7 years ago
- [ICML 2019] The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects☆15Apr 12, 2020Updated 5 years ago
- A Pytorch implementation of the KWNG estimator☆14Jul 25, 2024Updated last year
- [Quantitative Finance 2019] Sovereign Risk Zones in Europe During and After the Debt Crisis☆13May 12, 2020Updated 5 years ago
- Straight port of Emily Fox's Beta Process Auto Regressive Hidden Markov Model package☆14Jul 14, 2015Updated 10 years ago
- PyTorch implementation of the Marginalizable Density Model Approximator☆18Oct 11, 2021Updated 4 years ago
- Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domain…☆107Dec 28, 2021Updated 4 years ago
- Riemannian Convex Potential Maps☆67Mar 31, 2023Updated 2 years ago
- Multivariate timeseries analysis using dynamic factor modelling.☆23Jan 22, 2026Updated last month
- Official implementation of DynE, Dynamics-aware Embeddings for RL☆44Apr 28, 2021Updated 4 years ago
- Repo for using an LSTM and other algorithms on time series data for anomaly detection☆16Mar 25, 2023Updated 2 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆174Feb 11, 2022Updated 4 years ago