yantijin / dynamic-systems-DLLinks
Collection of resources that combine dynamic systems, control with deep learning.
☆29Updated 4 years ago
Alternatives and similar repositories for dynamic-systems-DL
Users that are interested in dynamic-systems-DL are comparing it to the libraries listed below
Sorting:
- Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates☆116Updated 5 years ago
- On Robustness of Neural Ordinary Differential Equations☆11Updated 4 years ago
- GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"☆60Updated 2 years ago
- code to show F-Principle in the DNN training☆59Updated 3 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆61Updated last year
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- [ICLR 2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data☆61Updated 4 months ago
- PyTorch for Neural Process in ICML 2018☆20Updated 6 years ago
- This repository contains experiments with Neural Ordinary Differential Equations with simulated and real empirical data☆199Updated 6 years ago
- Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)☆84Updated 4 years ago
- ☆18Updated 3 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆63Updated 4 years ago
- ☆14Updated 5 years ago
- Testing methods for estimating KL-divergence from samples.☆69Updated last month
- Code repository of the paper "BooVAE: Boosting Approach for Continual Learning of VAE" published at NeurIPS 2021. https://arxiv.org/abs/1…☆13Updated 4 years ago
- [ICML 2021] Deep Learning for Functional Data Analysis with Adaptive Basis Layers☆30Updated 3 years ago
- VAEs and nonlinear ICA: a unifying framework☆50Updated 6 years ago
- Mutual Information Neural Estimation (Pytorch)☆12Updated 5 years ago
- Generative adversarial networks (GAN) in a reduced-order model (ROM) framework for time series prediction, data assimilation and uncerta…☆45Updated last year
- Disentangled gEnerative cAusal Representation (DEAR)☆66Updated 3 years ago
- ☆14Updated 4 years ago
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆143Updated 2 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆100Updated 9 months ago
- [AAAI 2024] PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion☆24Updated last year
- A curated list of papers and resources about the distribution shift in machine learning.☆123Updated 2 years ago
- Official repo for AAAI 2023 paper "Stable Learning via Sparse Variable Independence".☆13Updated last year
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆26Updated 3 months ago
- A Pytorch implementation of missing data imputation using optimal transport.☆105Updated 4 years ago
- ☆68Updated 2 years ago
- Neural Tangent Kernel Papers☆120Updated 11 months ago