NumPy

image(hight, width) -> parts(224,224) «Я могу предстать [перед судом], и я могу это предотвратить»

MCODAC is a Fortran library for the numerical evaluation of fiber composite damage. The library contains analysis methods specifically tailored to fiber composites, from micromechanical homogenization approaches to macroscopic fatigue models of orthotropic multilayer composites.

The python-native Latina Conservatory version of the SMS (Spectral Modeling Synthesis) tools developed by Xavier Serra in his Phd thesis in 1989.

Miscellaneous Python tools (monorepo).

PyVISA libraries for measurement and control devices.

Python libraries and utilities for custom measurement and control devices.

Vintage / Second-hand Marketplace Item Identifier & Price Comparator

Basic Idea: User takes photos of second-hand items (books, clothes, electronics) – especially relevant to students/people buying second-hand in Ireland. ML model recognises item type + approximate category + suggests price range (using scraped data from online marketplaces like DoneDeal, DoneDeal.ie, etc.). Backend stores user offers/requests; allows search, history, notifications for good deals.

Datasets / Data sources: For generic objects: use general vision datasets such as ImageNet – wide variety of everyday objects & categories. For clothes / fashion: Fashion‑MNIST for a start (though low-resolution, but good prototyping). For more specialized classes, get good coverage from public datasets like ImageNet.

dantro is a python package for handling, transforming, and visualizing hierarchically organized data.

Integrated into data-intensive projects, it supplies an easy way to define a customizable, configuration-based data processing pipeline. See utopya for an example.

ScaLAPACK for Python (scalapy) provides a high-level Python interface to distributed dense linear algebra using MPI, BLACS, and ScaLAPACK. It enables efficient computation on large matrices using a block-cyclic distribution, while exposing a NumPy-like API based on the DistributedMatrix abstraction.

This fork modernizes and stabilizes the original scalapy project with: • Support for Python 3.x on modern Linux systems • Clean MPI + ScaLAPACK detection (OpenMPI + Netlib ScaLAPACK) • Reproducible builds using a known-good NumPy / Cython / mpi4py stack • Documentation, examples, and automated tests • High-level wrappers for SVD, QR, LU, Cholesky, eigenproblems, and DMD workflows • Efficient distributed transposes via the new p?lapv2 wrapper

The project makes it possible to write dense parallel linear-algebra pipelines in Python while executing BLAS/PBLAS/ScaLAPACK kernels across an MPI communicator.

Provides fractional delay filter design and evaluation routines for Numpy arrays

Practical tasks on Deep Learning (DL) and Neural Networks (NN). 🤖

L'Informatica Musicale Veramente Giusta. Informatica Musicale per le persone dubbiose.

Gerardus Mercator (Gheert Cremer; Gerhard Krämer; 5 марта 1512 — 2 декабря 1594) — фламандский географ и картограф, наиболее известный как автор картографической проекции, носящей его имя. Меркатор впервые применил эту равноугольную цилиндрическую проекцию при составлении навигационной карты мира на 18 листах (1569 год). Проекция Меркатора отличается тем, что на картах не искажаются углы и формы, а расстояния сохраняются только на экваторе. В настоящее время она применяется для составления морских навигационных и аэронавигационных карт. Хотя в результате современных историко-картографических исследований установлено, что такая проекция использовалась ещё в 1511 году, широкое применение она получила лишь благодаря Меркатору.

Lecture note of Numerical Analysis and Practice

Training various machine learning models for NFLX stock price prediction with data collection, cleaning, and visualization tools.

Real-time webcam preview and combined webcam with microphone monitoring using OpenCV, Tkinter, and SoundDevice.