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
- Double Descent Curve with Optical Random Features☆30Updated 3 years ago
- Code to perform Model-Free Episodic Control using Aurora OPUs☆17Updated 5 years ago
- ML benchmarks performance featuring LightOn's Optical Processing Unit (OPU) vs CPU and GPU.☆22Updated 2 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
- Fast graph classifier with optical random features☆12Updated 4 years ago
- Parallel random matrix tools and complexity for deep learning☆33Updated last year
- Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations☆21Updated 2 years ago
- Dive into Jax, Flax, XLA and C++☆32Updated 5 years ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Updated 2 years ago
- Convolutions and more as einsum for PyTorch☆17Updated last year
- A Pytorch implementation of an efficient unitary neural network (https://arxiv.org/abs/1612.05231)☆33Updated 5 years ago
- ☆80Updated 4 years ago
- ☆12Updated 5 years ago
- Code to estimate Renormalized Mutual Information in simple settings☆13Updated 4 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- All things Monte Carlo, written in JAX.☆32Updated 2 years ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆39Updated 6 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- A differentiation API for PyTorch☆30Updated 5 years ago
- Generic API for dispatch to Pyro backends.☆16Updated 3 years ago
- Tools for JAX☆49Updated last week
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Layered distributions using FLAX/JAX☆10Updated 5 years ago
- Documentation:☆125Updated 2 years ago
- Exponential families for JAX☆76Updated last week
- Stencil computations in JAX☆71Updated 2 months ago