https://github.com/0xibra/nunchaku
SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models
pyhctsa: A Python package for highly comparative time-series analysis
pyhctsa: A Python package for highly comparative time-series analysis - Published in JOSS (2026)
https://github.com/0xcoto/psr-toolkit
📡 An easy-to-use Pulsar Toolkit for Pulsar Astronomy...
https://github.com/0xibra/salut-nodejs
Salut is a platform where you can create and manage events with many posibilities.
https://github.com/0xibra/linux-tower-gpt-embeddings-experiment
This project is a work-in-progress and serves as an experiment for context injection with GPT and code embeddings. The goal is to use GPT to develop the remaining features of the project.
https://github.com/ferrite-fem/ferriteinterfaceelements.jl
Interface elements (aka cohesive elements) for Ferrite.jl
https://github.com/quant-aq/aeromancy
⚗️ Aeromancy: A framework for performing reproducible AI and ML
https://github.com/12sqawdwq/pi-cai_transunet
Try to us TransUnet to solve PI-CAI challenge
https://github.com/gully/k2-pix
Overlay a sky survey image on a K2 target pixel stamp
https://github.com/ahmedshahriar/customer-churn-prediction
Extensive EDA of the IBM telco customer churn dataset, implemented various statistical hypotheses tests and Performed single-level Stacking Ensemble and tuned hyperparameters using Optuna.
https://github.com/cyriljl/apyxl
apyxl simplifies non-linear regressions/classifications and model explainability for all users