lightonai / double-trouble-in-double-descentLinks
Double Trouble in the Double Descent Curve with Optical Processing Units.
☆12Updated 3 years ago
Alternatives and similar repositories for double-trouble-in-double-descent
Users that are interested in double-trouble-in-double-descent 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
- ML benchmarks performance featuring LightOn's Optical Processing Unit (OPU) vs CPU and GPU.☆22Updated 2 years ago
- Double Descent Curve with Optical Random Features☆29Updated 3 years ago
- Python library for running large-scale computations on LightOn's OPUs☆36Updated 3 years ago
- Code to perform Model-Free Episodic Control using Aurora OPUs☆17Updated 5 years ago
- Code for our paper on best practices to train neural networks with direct feedback alignment (DFA).☆23Updated 6 years ago
- Fast graph classifier with optical random features☆12Updated 4 years ago
- Code to estimate Renormalized Mutual Information in simple settings☆13Updated 4 years ago
- Parallel random matrix tools and complexity for deep learning☆33Updated last year
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Updated 2 years ago
- A Pytorch implementation of an efficient unitary neural network (https://arxiv.org/abs/1612.05231)☆33Updated 5 years ago
- ☆12Updated 4 years ago
- Dive into Jax, Flax, XLA and C++☆31Updated 5 years ago
- Convolutions and more as einsum for PyTorch☆17Updated last year
- Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations☆20Updated 2 years ago
- A tool for weighted model counting through tensor network contraction☆21Updated 3 years ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- A differentiation API for PyTorch☆30Updated 5 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- Matlab code implementing Hamiltonian Annealed Importance Sampling for importance weight, partition function, and log likelihood estimatio…☆26Updated 11 years ago
- Machine Learning Function Approximation: This code implements the fully-connected Deep Neural Network (DNN) architectures considered in t…☆18Updated 4 years ago
- Layered distributions using FLAX/JAX☆10Updated 4 years ago
- Automatic selection and generation of integration schemes for systems of ordinary differential equations☆16Updated last week
- All things Monte Carlo, written in JAX.☆31Updated 2 years ago
- Large scale simulation of ODEs or SDEs, analyze time series.☆25Updated 6 years ago
- ☆28Updated 3 years ago
- Functional models and algorithms for sparse signal processing☆94Updated last year
- Generic API for dispatch to Pyro backends.☆16Updated 3 years ago