erichson / LipschitzRNNLinks
Lipschitz Recurrent Neural Networks
☆29Updated 4 years ago
Alternatives and similar repositories for LipschitzRNN
Users that are interested in LipschitzRNN are comparing it to the libraries listed below
Sorting:
- Official code for the ICLR 2021 paper Neural ODE Processes☆74Updated 3 years ago
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆38Updated 2 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆48Updated 4 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆59Updated 11 months 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 for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆118Updated 4 years ago
- Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series☆118Updated 2 years ago
- Experiments for Neural Flows paper☆97Updated 3 years ago
- Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domain…☆104Updated 3 years ago
- This repository contains code released by DiffEqML Research☆90Updated 3 years ago
- ☆18Updated 3 years ago
- Code for *ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models*☆86Updated 6 months ago
- Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆22Updated 5 years ago
- Refining continuous-in-depth neural networks☆42Updated 3 years ago
- Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)☆43Updated 9 months ago
- ☆47Updated last year
- An encoder-decoder framework for learning from incomplete data☆45Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…☆25Updated 2 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- ☆10Updated 3 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆97Updated 5 months ago
- Methods and experiments for assumed density SDE approximations☆12Updated 3 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 5 years ago
- Probabilistic Auto-Encoder☆43Updated 2 years ago
- Featurized Density Ratio Estimation☆20Updated 4 years ago
- ☆28Updated 3 years ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆26Updated 2 years ago