mandubian / neural-ode
Neural Ordinary Differential Equation
☆101Updated 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
- Implementation of (2018) Neural Ordinary Differential Equations on Keras☆64Updated 5 years ago
- Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support☆218Updated 4 years ago
- [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs☆103Updated 4 years ago
- Sample implementation of Neural Ordinary Differential Equations☆260Updated 6 years ago
- Implementation of Spectral Inference Networks, ICLR 2019☆171Updated 5 years ago
- This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube☆244Updated 6 years ago
- Understanding normalizing flows☆131Updated 5 years ago
- Convolutional Gaussian processes based on GPflow.☆96Updated 7 years ago
- A Discussion on Solving Partial Differential Equations using Neural Networks☆65Updated 5 years ago
- ☆59Updated 6 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆188Updated 2 years ago
- ☆64Updated 6 years ago
- Experiments with Neural Ordinary Differential Equations on image and text classification tasks☆31Updated 5 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- ☆178Updated 5 years ago
- This repository contains code released by DiffEqML Research☆85Updated 2 years ago
- Pytorch implementation of Augmented Neural ODEs☆536Updated 2 years ago
- TensorFlow Probability Tutorial☆37Updated 5 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated 6 months ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Gaussian processes with PyTorch☆30Updated 3 years ago
- Experiments with beta-VAE to learn disentangled representations from the data☆65Updated 5 years ago
- Deep convolutional gaussian processes.☆78Updated 5 years ago
- Implementing Bayes by Backprop☆183Updated 5 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago
- Bayesian Weight Uncertainty Dense Layer for Keras☆48Updated 8 years ago
- Normalizing Flows in Jax☆107Updated 4 years ago
- Kalman Variational Auto-Encoder☆135Updated 6 years ago
- Gaussian Processes in Pytorch☆75Updated 4 years ago