juliagusak / neural-ode-metasolverView external linksLinks
Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
☆25Mar 30, 2021Updated 4 years ago
Alternatives and similar repositories for neural-ode-metasolver
Users that are interested in neural-ode-metasolver are comparing it to the libraries listed below
Sorting:
- Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"☆16Apr 27, 2020Updated 5 years ago
- ☆11Dec 6, 2020Updated 5 years ago
- Official repository for Fourier model that can generate periodic signals☆10Mar 10, 2022Updated 3 years ago
- Probabilistic Solution of Differential Equations☆13Jun 19, 2022Updated 3 years ago
- Quadrature-based features for kernel approximation☆16Oct 30, 2018Updated 7 years ago
- Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) f…☆38Apr 29, 2025Updated 9 months ago
- A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium☆21Jun 7, 2021Updated 4 years ago
- This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)☆13Feb 17, 2023Updated 2 years ago
- ☆14Mar 3, 2022Updated 3 years ago
- The official PyTorch implementation of "An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction" (TheWebConf'23)☆11May 4, 2023Updated 2 years ago
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆23Jul 15, 2022Updated 3 years ago
- ☆11Apr 14, 2022Updated 3 years ago
- Code for the blog post☆12Jan 15, 2021Updated 5 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
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper☆105Nov 20, 2021Updated 4 years ago
- The main github repository for NLA2015 course☆12Oct 31, 2016Updated 9 years ago
- ☆12Sep 17, 2022Updated 3 years ago
- MUSCO: MUlti-Stage COmpression of neural networks☆72Feb 16, 2021Updated 4 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Feb 3, 2020Updated 6 years ago
- virtual node analysis on ogb benchmark dataset☆14Mar 9, 2023Updated 2 years ago
- Neural Dynamics on Complex Networks☆55Sep 24, 2020Updated 5 years ago
- Lectures and materials for the Fall 2014 Skoltech numerical linear algebra course☆15Sep 10, 2015Updated 10 years ago
- Code for the paper "What Makes Better Augmentation Strategies? Augment Difficult but Not too Different" (ICLR 22)☆12Aug 28, 2023Updated 2 years ago
- ☆12Jul 8, 2022Updated 3 years ago
- A neural network training framework within a task-based parallel programming paradigm☆56Feb 6, 2026Updated last week
- Attentive Co-Evolving Neural Ordinary Differential Equations☆30Oct 16, 2023Updated 2 years ago
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆39Oct 19, 2022Updated 3 years ago
- ☆31Aug 16, 2021Updated 4 years ago
- Code for the NeurIPS 2019 paper: "Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning"☆33Jun 27, 2023Updated 2 years ago
- https://arxiv.org/abs/2102.12594☆14Oct 3, 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 10 months ago
- Mixture Density Network Demo in Pytorch☆14Sep 17, 2018Updated 7 years ago
- The implementation for our paper "Slate-Aware Ranking for Recommendation" accepted by WSDM.23☆16Dec 13, 2022Updated 3 years ago
- Materials for a proposed Causal Inference Tutorial session at SciPy 2023☆12Jul 8, 2023Updated 2 years ago
- Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle…☆38Jul 27, 2023Updated 2 years ago
- Pytorch implementation of "Light Schrödinger Bridge" (ICLR 2024)☆64Aug 9, 2024Updated last year
- How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)☆13Jul 24, 2022Updated 3 years ago
- ☆13Mar 8, 2024Updated last year
- Code for CIKM 2021 best short paper nomination "Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation" https…☆16Jun 11, 2021Updated 4 years ago