petered / uoro-demo
☆17Updated 4 years ago
Alternatives and similar repositories for uoro-demo:
Users that are interested in uoro-demo are comparing it to the libraries listed below
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆34Updated 5 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆13Updated last year
- Tools for examining the causal structure of artificial neural networks with information theory☆21Updated 4 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- Deep Learning without Weight Transport☆35Updated 5 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- ☆46Updated last year
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆71Updated 8 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆54Updated 4 years ago
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆32Updated 6 months ago
- ☆13Updated 9 months ago
- Limitations of the Empirical Fisher Approximation☆47Updated 2 months ago
- Nengo library of additional extensions☆29Updated 2 years ago
- The implementation of "The Kanerva Machine" with Pytorch and Pyro☆12Updated 6 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- Official code for UnICORNN (ICML 2021)☆27Updated 3 years ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆38Updated last year
- ☆11Updated 4 years ago
- ☆14Updated 3 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆31Updated 3 years ago
- ☆28Updated 6 years ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- Monotone operator equilibrium networks☆52Updated 4 years ago
- General framework for Bayesian inversion of continuous hierarchical models☆10Updated 3 years ago
- Code release for the ICLR paper☆20Updated 6 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Nonparametric Score Estimators, ICML 2020☆36Updated 3 years ago
- Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).☆22Updated 6 years ago
- The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"☆25Updated 5 years ago