conditional

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

Measure anything in Home Assistant based on time and conditions.

Tensorflow implementation of conditional variational auto-encoder for MNIST

Conditional coverage metrics for set rules prediction.

user-friendly pipeline for GWAS fine-mapping

Implementation of UNITY: Universal Condition Adapter for Diffusion Models (Accepted in ECCV 2026)

GitHub Action for conditional logic: evaluate up to 10 conditions and set dynamic outputs

The repository contains example code for conditional Generative Adversarial Model in theno and Lasagne. The code follows the paper https://arxiv.org/abs/1411.1784 but with a different deep architecture. The folder Generative Images contains Some sampled generated images from the code.

XRAY-GAN: Conditional and Unconditional Score-guided GAN for Chest X-ray Pathology Classification

Dynamic Survey Forms: Create, customize, and analyze surveys with Django. User-friendly, flexible, and tailored for efficient data collection.

To build a simple interactive Python console application.

A complete, step-by-step beginner's guide to core Python fundamentals. Features 27 curated lessons covering everything from basic syntax, variables, and data structures to advanced built-in modules and error handling. Clean, easy-to-digest code snippets designed for rapid learning.

CHFP-DVAE Conditional Hierarchical Fuzzy PSO Disentangled VAE

A Conditional GAN Model

Few tasks in Python, created to study fundamentals

A conditioned convolutional neural network that incorporates a Feature-Wise Linear Modulation (FiLM) approach to classify whether a given lesion image is a melanoma or benign.

Ejercicios básicos de lógica de programación en Python realizados el primer trimestre del primer curso de Grado Superior de DAM. Cubren temas como bucles, condicionales (if, match) y manejo de matrices.

A collection of Python mini projects built using core programming concepts such as data types, strings, lists, tuples, sets, dictionaries, functions, loops, and conditional statements to strengthen problem-solving and Python fundamentals.

Project Job Insights (Python)