Python 3 wrapper for Weka using JPype.

Zemberek Turkish NLP examples written in Python using the JPype package. Battle-tested in hackathons and r&d projects by many students and researchers across Turkey!

Fun with lottery numbers. Statistics and predictions.

Takes an arbitrary Android app and injects a Frida Gadget. No third-party tools required

The main objective of this project is to reduce report generation times and minimise errors associated with manual data entry.

A Python wrapper for Stanford-CoreNLP version 3.9.1 using Jpype

Jpype-based Python wrapper for Meka.

We require a system to generate words and sentences in Turkish based on certain calculations and rules. Assume that ascending order Turkish alphabet is assigned numerical values starting from 1. (e.g. letter_values = {'a':1, 'b':2, 'c':3, 'ç':4, 'd':5, 'e':6, ...} ).

Python bindings to Google Closure Compiler

An abstraction layer to deal with python-JVM bridges uniformly !!! Migrated to Codeberg 🏔️ !!!

A collection of Python scripts demonstrating how to run various AI tasks locally using models from the Hugging Face Hub and the transformers library (along with related libraries like datasets, sentence-transformers, etc.). These examples cover a range of modalities including text, vision, and audio, showcasing different models and pipelines.