tk-rusch / unicornnLinks
Official code for UnICORNN (ICML 2021)
☆28Updated 4 years ago
Alternatives and similar repositories for unicornn
Users that are interested in unicornn are comparing it to the libraries listed below
Sorting:
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆50Updated 4 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆118Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 3 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"☆16Updated 5 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 5 years ago
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Updated 7 years ago
- Efficient Householder Transformation in PyTorch☆66Updated 4 years ago
- ☆50Updated 5 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- ☆22Updated 3 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆63Updated 4 years ago
- ☆54Updated last year
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- ☆48Updated 2 years ago
- Implementation of deep implicit attention in PyTorch☆65Updated 4 years ago
- Limitations of the Empirical Fisher Approximation☆48Updated 7 months ago
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 3 years ago
- Structured matrices for compressing neural networks☆67Updated 2 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated last year
- Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…☆123Updated 2 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆27Updated 2 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆42Updated 5 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 4 years ago