petered / uoro-demoLinks
☆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
Sorting:
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆14Updated last year
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆72Updated 9 years ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 5 years ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆36Updated 5 years ago
- Deep Learning without Weight Transport☆36Updated 5 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Nengo library of additional extensions☆29Updated 2 years ago
- ☆28Updated 6 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 7 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago
- Tools for examining the causal structure of artificial neural networks with information theory☆23Updated 4 years ago
- ☆115Updated last year
- Algorithm to alleviate catastrophic forgetting in neural networks by gating hidden units☆23Updated 4 years ago
- [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs☆107Updated 4 years ago
- ☆47Updated last year
- Code release for the ICLR paper☆21Updated 7 years ago
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆74Updated 3 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆48Updated 4 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- Experiments with Neural ODEs and Adversarial Attacks☆45Updated 6 years ago
- Optimization with orthogonal constraints and on general manifolds☆130Updated 5 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Train self-modifying neural networks with neuromodulated plasticity☆78Updated 5 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated 2 years ago
- Convolutional Neural Tangent Kernel☆113Updated 5 years ago
- Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).☆22Updated 6 years ago
- a deep recurrent model for exchangeable data☆34Updated 5 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago