lightonai / opu-benchmarksLinks
ML benchmarks performance featuring LightOn's Optical Processing Unit (OPU) vs CPU and GPU.
☆22Updated 2 years ago
Alternatives and similar repositories for opu-benchmarks
Users that are interested in opu-benchmarks are comparing it to the libraries listed below
Sorting:
- Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.☆19Updated 5 years ago
- Conformational exploration SARS-CoV-2 (coronavirus responsible for COVID-19)☆16Updated 3 years ago
- Code for our paper on best practices to train neural networks with direct feedback alignment (DFA).☆23Updated 6 years ago
- Optical Transfer Learning☆27Updated 2 years ago
- Double Trouble in the Double Descent Curve with Optical Processing Units.☆12Updated 3 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☆36Updated 3 years ago
- Double Descent Curve with Optical Random Features☆30Updated 3 years ago
- Fast graph classifier with optical random features☆12Updated 4 years ago
- Butterfly matrix multiplication in PyTorch☆174Updated 2 years ago
- Sparsity support for PyTorch☆37Updated 7 months ago
- Python code (packaged in Docker container) to run the experiments in "A Greedy Algorithm for Quantizing Neural Networks" by Eric Lybrand …☆20Updated 4 years ago
- Machine Learning Function Approximation: This code implements the fully-connected Deep Neural Network (DNN) architectures considered in t…☆18Updated 5 years ago
- ☆12Updated 5 years ago
- Deep learning with a multiplication budget☆47Updated 7 years ago
- A Data-Centric Compiler for Machine Learning☆85Updated last year
- Structured matrices for compressing neural networks☆67Updated 2 years ago
- Dive into Jax, Flax, XLA and C++☆32Updated 5 years ago
- A GPU performance prediction toolkit for CUDA programs☆18Updated 6 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- Learning to Learn: Gradient-free Optimization framework☆36Updated 4 years ago
- ColTraIn HBFP Training Emulator☆16Updated 2 years ago
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆39Updated 3 years ago
- Demo: Slightly More Bio-Plausible Backprop☆21Updated 8 years ago
- Black-box Optimizer based on Bayesian Optimization☆159Updated last year
- Functional models and algorithms for sparse signal processing☆95Updated 2 years ago
- CUDA templates for tile-sparse matrix multiplication based on CUTLASS.☆50Updated 7 years ago
- ☆71Updated 5 years ago
- ☆47Updated 6 years ago
- ☆14Updated 2 years ago