lightonai / double-descent-curveLinks
Double Descent Curve with Optical Random Features
☆30Updated 3 years ago
Alternatives and similar repositories for double-descent-curve
Users that are interested in double-descent-curve are comparing it to the libraries listed below
Sorting:
- Conformational exploration SARS-CoV-2 (coronavirus responsible for COVID-19)☆16Updated 3 years ago
- Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.☆19Updated 5 years ago
- Optical Transfer Learning☆27Updated 2 years ago
- Double Trouble in the Double Descent Curve with Optical Processing Units.☆12Updated 3 years ago
- Fast graph classifier with optical random features☆12Updated 4 years ago
- ML benchmarks performance featuring LightOn's Optical Processing Unit (OPU) vs CPU and GPU.☆22Updated 2 years ago
- Code to perform Model-Free Episodic Control using Aurora OPUs☆17Updated 5 years ago
- Python library for running large-scale computations on LightOn's OPUs☆37Updated 3 years ago
- Code for our paper on best practices to train neural networks with direct feedback alignment (DFA).☆21Updated 6 years ago
- Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations☆21Updated 2 years ago
- Nonparametric Score Estimators, ICML 2020☆36Updated 4 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆77Updated last year
- Butterfly matrix multiplication in PyTorch☆178Updated 2 years ago
- Distributed K-FAC preconditioner for PyTorch☆94Updated this week
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆64Updated 4 years ago
- Piecewise Linear Functions (PWL) implementation in PyTorch☆57Updated 3 years ago
- PyTorch implementation of Hessian Free optimisation☆43Updated 6 years ago
- Hessian trace estimation using PyTorch and Hutch++☆20Updated 5 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 5 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆109Updated 2 years ago
- Convolutions and more as einsum for PyTorch☆17Updated last year
- ☆172Updated last year
- ☆35Updated 4 years ago
- Structured matrices for compressing neural networks☆67Updated 2 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆58Updated 4 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆48Updated 6 years ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Updated 2 years ago
- A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium☆21Updated 4 years ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆82Updated last year