JSeam2 / Neural-Ordinary-Differential-Equations
Sample implementation of Neural Ordinary Differential Equations
☆260Updated 6 years ago
Alternatives and similar repositories for Neural-Ordinary-Differential-Equations:
Users that are interested in Neural-Ordinary-Differential-Equations are comparing it to the libraries listed below
- Neural Ordinary Differential Equation☆101Updated 6 years ago
- Implementation of (2018) Neural Ordinary Differential Equations on Keras☆65Updated 6 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆125Updated 6 years ago
- [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs☆104Updated 4 years ago
- Pytorch implementation of Augmented Neural ODEs☆541Updated 2 years ago
- ICLR Reproducibility Challenge 2019☆219Updated 5 years ago
- Understanding normalizing flows☆132Updated 5 years ago
- ☆219Updated 6 years ago
- Tensorflow Implementation of Interaction Networks for Learning about Objects, Relations and Physics☆158Updated 7 years ago
- Basic pytorch implementation of NAC/NALU from Neural Arithmetic Logic Units paper by trask et.al☆115Updated 6 years ago
- Code to reproduce results from the paper "AmbientGAN: Generative models from lossy measurements"☆90Updated 7 years ago
- tutorial notebooks☆387Updated 7 years ago
- Replicating "Understanding disentangling in β-VAE"☆197Updated 6 years ago
- Experiments with beta-VAE to learn disentangled representations from the data☆65Updated 6 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆189Updated 2 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆359Updated 5 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆245Updated 6 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆206Updated 7 years ago
- Tensorflow implementation of Hyperspherical Variational Auto-Encoders☆230Updated 6 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆639Updated 4 years ago
- Guided Evolutionary Strategies☆270Updated 2 years ago
- A curated list of resources dedicated to bayesian deep learning☆415Updated 7 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support☆218Updated 4 years ago
- Neural Architecture Search with Bayesian Optimisation and Optimal Transport☆133Updated 6 years ago
- Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al☆218Updated 6 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 7 years ago
- Videos of deep learning optimizers moving on 3D problem-landscapes☆107Updated 9 months ago
- Benchmark and build RL architectures that can do multitask and transfer learning.☆142Updated 2 years ago