saparina / neural-odeLinks
Experiments with Neural Ordinary Differential Equations on image and text classification tasks
☆33Updated 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:
- [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs☆109Updated 5 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆57Updated 4 years ago
- TensorFlow Probability Tutorial☆38Updated 6 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆131Updated last year
- Neural Ordinary Differential Equation☆103Updated 6 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 6 years ago
- Pytorch Implementation of variational auto-encoder for MNIST☆61Updated 7 years ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆40Updated last year
- Implementation of (2018) Neural Ordinary Differential Equations on Keras☆66Updated 6 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆124Updated 2 years ago
- ☆50Updated 2 years ago
- This repository contains code released by DiffEqML Research☆92Updated 3 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.☆60Updated 7 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 3 years ago
- ☆32Updated 7 years ago
- ☆28Updated 6 years ago
- ☆116Updated 2 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 7 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆35Updated 4 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆26Updated 5 years ago
- Autoregressive Energy Machines☆78Updated 3 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated 2 years ago
- A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN☆18Updated 7 years ago
- Uncertainty Autoencoders, AISTATS 2019☆56Updated 6 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- ☆68Updated 3 years ago
- Code base for SRSGD.☆28Updated 5 years ago
- Code for "Deep Signature Transforms" (NeurIPS 2019)☆98Updated last year