saparina / neural-odeLinks
Experiments with Neural Ordinary Differential Equations on image and text classification tasks
☆31Updated 6 years ago
Alternatives and similar repositories for neural-ode
Users that are interested in neural-ode are comparing it to the libraries listed below
Sorting:
- TensorFlow Probability Tutorial☆37Updated 5 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 6 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- Implementation of (2018) Neural Ordinary Differential Equations on Keras☆65Updated 6 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs☆106Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 6 years ago
- A Discussion on Solving Partial Differential Equations using Neural Networks☆66Updated 6 years ago
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 2 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago
- Partial implementation of ODE-GAN technique from the paper Training Generative Adversarial Networks by Solving Ordinary Differential Equa…☆16Updated 4 years ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆40Updated 10 months ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- This repository contains code released by DiffEqML Research☆90Updated 3 years ago
- Refining continuous-in-depth neural networks☆41Updated 3 years ago
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆38Updated 2 years ago
- Monotone operator equilibrium networks☆52Updated 5 years ago
- ☆72Updated 4 years ago
- A pyTorch Extension for Applied Mathematics☆39Updated 5 years ago
- Official code for UnICORNN (ICML 2021)☆27Updated 3 years ago
- ☆47Updated last year
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 4 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 7 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆32Updated 3 years ago
- jupyter notebooks for the neural nets and differential equation paper☆28Updated 4 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 2 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆129Updated 10 months ago