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graphyml-client

Cliente de graphyml

gym_gui

Proyecto de creación de entornos de manipulación de interfaz gráfica para entrenamiento de agentes inteligentes DQN

helpdesk

javalang

Pure Python Java parser and tools

kivy-astmanip

A parser, AST manipulator and pretty-printer for the language of Kivy written in Scala.

kivy-recyclescrollview

Vista scrollable de reciclaje para widgets de kivy

kivy-web-syntax-sublime-text

Esto es una adaptación del lenguaje kv para contenter estilos css y componentes html

kopyt

Kotlin parser in pure Python.

leroy-v1.0.1

adaptacion del template para asenzor

live-layerwise-image-vectorization

[CVPR 2022 Oral] Towards Layer-wise Image Vectorization

me-and-family

adaptacion del template para asenzor

modal_logic

Final Year Masters Project: modal logic solver tableaux

mongomantic

A MongoDB Python ORM, built on PyMongo and Pydantic.

nuclear

pandora

Se trata de una inteligencia artificial OpenSource

phply

PHP parser written in Python using PLY

phprefresh

Un simple codigo para refrescar php en el navegador

pscript

Python to JavaScript compiler

pyphp

pytest_services

Libreria para hacer test del control de flujo de microservicios

python-cobol

Python code to parse and denormalize COBOL Copybooks.

python-module

Write Nuxt.js applications using Python! [Experimental]

pytorch-gat

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

pyzer

Prototipo de lenguaje de programación que seria un superconjunto de python compilado algo similar a mojo

py_vue_ssr_poc

POC illustrating Vue server side rendering with Python

quant-ux

Quant-UX - Prototype, Test and Learn

quart_asenzor

plantaforma CMS estilo wordpress

ranger

adaptacion del template para asenzor

rust-parser

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.