ML benchmarks performance featuring LightOn's Optical Processing Unit (OPU) vs CPU and GPU.
☆23Jul 23, 2023Updated 3 years ago
Alternatives and similar repositories for opu-benchmarks
Users that are interested in opu-benchmarks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.☆19May 4, 2020Updated 6 years ago
- Double Trouble in the Double Descent Curve with Optical Processing Units.☆12Jun 22, 2022Updated 4 years ago
- Conformational exploration SARS-CoV-2 (coronavirus responsible for COVID-19)☆16Jun 22, 2022Updated 4 years ago
- Optical Transfer Learning☆27Jul 23, 2023Updated 3 years ago
- Double Descent Curve with Optical Random Features☆30Jun 22, 2022Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Implementation of NEWMA: a new method for scalable model-free online change-point detection☆48May 4, 2020Updated 6 years ago
- Fast graph classifier with optical random features☆12Mar 2, 2021Updated 5 years ago
- Inference code in Pytorch for GPT-like models, such as PAGnol, a family of models with up to 1.5B parameters, trained on datasets in Fren…☆20Oct 18, 2022Updated 4 years ago
- Python client for the LightOn Muse API☆14Sep 15, 2022Updated 4 years ago
- Code for our paper on best practices to train neural networks with direct feedback alignment (DFA).☆23Jun 12, 2019Updated 7 years ago
- Python library for running large-scale computations on LightOn's OPUs☆38May 5, 2022Updated 4 years ago
- Architecture embeddings independent from the parametrization of the search space☆15Mar 17, 2021Updated 5 years ago
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆89Jun 22, 2022Updated 4 years ago
- Random projection library for Python, converting a dictionary to low-dimensional numpy matrix☆18Aug 5, 2010Updated 16 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Tensorflow implementation of Direct and Random feedback Alignment☆25Nov 14, 2016Updated 9 years ago
- Restricted Boltzmann Machines in Julia☆15Jun 30, 2017Updated 9 years ago
- Demo of random projections at BerlinBuzzwords 2015☆22Feb 25, 2020Updated 6 years ago
- A collection of pretraining, finetuning and evaluation scripts for mLateOn and mDenseOn, as well as their English counterparts.☆15Aug 5, 2026Updated 3 months ago
- Scalable Big Data Clustering by Random Projection Hashing: golang implementation☆23Feb 7, 2017Updated 9 years ago
- Snapped is a parallel program snapshotter designed for debugging deadlocks and crashes in programs. It acts as a wrapper around the GDB M…☆11Aug 26, 2024Updated 2 years ago
- Better Live Text for MacOS☆37Feb 8, 2026Updated 8 months ago
- Python Simplified API for FreeCAD Macros☆17Apr 29, 2024Updated 2 years ago
- Matlab code for Low rank Matrix Factorization with AMP☆16Aug 18, 2015Updated 11 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- The French summarization dataset introduced in "BARThez: a Skilled Pretrained French Sequence-to-Sequence Model".☆23Apr 23, 2021Updated 5 years ago
- ☆18Updated this week
- Tensors and Dynamic neural networks in Python with strong GPU acceleration☆11Jun 2, 2024Updated 2 years ago
- ☆40Apr 29, 2019Updated 7 years ago
- Simulation infrastructure and validation of Cori☆13Mar 22, 2022Updated 4 years ago
- ☆10Jan 9, 2023Updated 3 years ago
- ☆17Mar 25, 2021Updated 5 years ago
- ☆11Jan 29, 2017Updated 9 years ago
- Python library with optical material properties.☆29Sep 14, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Material for the Advanced Scientific Python Programming course, Nikiti, Greece, 2017☆14Aug 26, 2017Updated 9 years ago
- Implementation of the Snappy compression algorithm as a RoCC accelerator☆12Jul 29, 2019Updated 7 years ago
- Extreme Learning Machine in julia☆27Dec 16, 2014Updated 11 years ago
- Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.☆33Jun 25, 2014Updated 12 years ago
- PyTorch code for training neural networks without global back-propagation☆168Oct 19, 2019Updated 7 years ago
- Code for the CIKM 2019 Paper "Fast and Accurate Network Embeddings via Very Sparse Random Projection"☆59Nov 4, 2019Updated 7 years ago
- Spatial Spectral Machine Learning☆14Oct 15, 2025Updated last year