A CLI code-typing game that turns your source code into typing challenges

Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.

An opinionated list of awesome Python frameworks, libraries, software and resources.

Builds a graph of a Python project's internal dependencies.

Import Linter allows you to define and enforce rules for the internal and external imports within your Python project.

Blazingly fast cognitive complexity analysis for Python, written in Rust.

Minimal, high-performance Python helpers for concurrent S3 object transfers

Standardize FastAPI error/exception handling with APIException. Custom error codes, fallback logging, and beautiful Swagger UI integration.

Directory analysis that can create ASCII tree representations

A sqlish (a lil pythonic) and hopefully human readable style wrapper for JQ

Yet another static analysis tool for Python codebases written in Python that detects dead code. Faster and better than the rest :) also, who let the dawgs out?

Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.

Migrate a project from Poetry/Pipenv/pip-tools/pip to uv package manager

An extremely fast Python type checker and language server, written in Rust.

A modern yaml parser and manipulator

Ultra fast asyncio event loop.

Easily turn your Python functions into GUI applications

kenobiDB is a document based sqlite3 abstraction for Python 3.

Custom component that leverages the Meross IoT library to integrate with Homeassistant

Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies

A tool (and pre-commit hook) to automatically upgrade syntax for newer versions of the language.

Python job scheduling for humans.

👩🏿‍💻👨🏾‍💻👩🏼‍💻👨🏽‍💻👩🏻‍💻 Awesome Developers, Streaming

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

🤘 awesome-semantic-segmentation

PyTorch extensions for fast R&D prototyping and Kaggle farming

Semantic Segmentation Architectures Implemented in PyTorch

Cell image classsification with neural networks (MLP, ConvNet) and other statistical ML models (SVM, LDA, LR, etc.).

Using pre-trained model to classify images to detect cancerous cells

Lectures for INFO8010 Deep Learning, ULiège