patrick-kidger / NeuralCDELinks
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
☆666Updated 2 years ago
Alternatives and similar repositories for NeuralCDE
Users that are interested in NeuralCDE are comparing it to the libraries listed below
Sorting:
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆452Updated last month
- Code for "Latent ODEs for Irregularly-Sampled Time Series" paper☆562Updated 4 years ago
- Pytorch implementation of Augmented Neural ODEs☆552Updated 2 years ago
- Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations☆779Updated last year
- Pytorch implementation of GRU-ODE-Bayes☆228Updated 3 years ago
- Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021)☆284Updated last year
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,525Updated last year
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,674Updated 9 months ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆458Updated last year
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,476Updated last year
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆142Updated 2 years ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆283Updated 3 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆657Updated 5 years ago
- Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series☆119Updated 2 years ago
- This repository contains experiments with Neural Ordinary Differential Equations with simulated and real empirical data☆199Updated 6 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆226Updated last year
- Normalizing flows in PyTorch☆961Updated 9 months ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆233Updated 11 months ago
- Linear and non-linear spectral forecasting algorithms☆138Updated 4 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆98Updated 6 months ago
- Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"☆764Updated last year
- Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data☆217Updated 3 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆63Updated 4 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,004Updated 4 years ago
- Package implementing various parametric and nonparametric methods for conditional density estimation☆196Updated 2 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the p…☆169Updated 5 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆309Updated 3 months ago
- Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support☆223Updated 5 years ago
- Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments☆403Updated last year