web2pdf
CLI to convert Webpages to PDFs.
atopile
A tool to create electronic circuit boards with code.
Pro-Tip โ "En-Rich" your Python testing
The article provides a pro-tip on enhancing Python testing using the "rich" library. It demonstrates how to improve test output by using "rich" for better visualization of test results, particularly in pytest tests. The article offers practical advice and code examples for enriching the testing experience in Python.
SQLite-Web: Web-based SQLite database browser written in Python
Build a Content Engine with Django, Kubernetes, TailwindCSS, Twingate, AWS S3, & HTMX
Improving Django testing with seed database
A search engine in 80 lines of Python
Graph neural networks in TensorFlow
Python Hub Weekly Digest for 2024-02-11
Rye: a Hassle-Free Python Experience
Demonstrates the then latest version of Rye (0.21) and now it can be used to manage Python projects and interpreters.
Xonsh: Python-powered, cross-platform, Unix-gazing shell
Beyond Self-Attention: How a Small Language Model Predicts the Next Token
A deep dive into the internals of a small transformer model to learn how it turns self-attention calculations into accurate predictions for the next token.
OLMo
A State-of-the-Art, Truly Open LLM and Framework.
daveebbelaar / python-whatsapp-bot
Build AI WhatsApp Bots with Pure Python
MooreThreads / Moore-AnimateAnyone
Lockbox
Lockbox is a forward proxy for making third party API calls.
PyPDFForm
The Python library for PDF forms.
IOPaint
A free and open-source inpainting & outpainting tool powered by SOTA AI model.
NaturalSQL
A series of top performing Text to SQL LLMs.
skorche
Task orchestration for Python.
rexi
Terminal UI for Regex Testing.
django-htmx-components
This is a collection of components for Django and htmx. They are meant to be copy-pasted into your project and customized to your needs.
Rawdog
An CLI assistant that responds by generating and auto-executing a Python script.
contrastors
contrastors is contrastive learning toolkit that enables researchers and engineers to train and evaluate contrastive models efficiently.
Counting CPU Instructions in Python
Project by Ruslan Keba. Since 2012. Powered by Python. Made in ๐บ๐ฆUkraine.