CodonTransformer (1M+ Downloads); The tool for codon optimization, optimizing DNA for protein expression

Protein order and disorder data for Keras, Tensor Flow and Edward frameworks with automated update cycle made for continuous learning applications.

Stable-Pi-Core is a next-generation decentralized ecosystem that integrates blockchain, quantum AI, IoT, edge computing, and AR/VR to deliver secure, scalable, and personalized solutions for payments, governance, and real-world applications—redefining the future of technology with unmatched flexibility and innovation.

Claude-Code for Bioinformatics

A Quantum Computing and Machine Learning Model that accelerates the Drug Research and Development process

Explore biomolecular pathways in Reactome from the command-line or a Python script

The ecobio-redemiatech-core repository serves as the foundational codebase for the EcoBio Redemiatech initiative. It includes essential algorithms, genetic engineering protocols, and synthetic biology tools designed for the development and optimization of genetically engineered microorganisms aimed at environmental remediation.

High-Performance Automatic Differentiation for Python

This project is done for the Biomedicine, Biotechnology and Public Healthcare department of the University of Cádiz. They idea is to automatize the processing of the microscopic images of their experiments related to angiogenesis.

genomics, biochemistry, biotechnology, cell biology, biophysics, ecology

The egaia-core repository serves as the foundational framework for Project EGaia, encompassing essential algorithms, data models, and tools for ecological restoration initiatives.

A Python molecular biology CAD tool with a dead-simple user interface

FLYCOP (FLexible sYnthetic Consortium OPtimization)

Deep Learning Template for bacterial image classification in Keras.

I developed Machine Learning Software with multiple models that predict and classify AID362 biology lab data. Accuracy values are 99% and above, and F1, Recall and Precision scores are average (average of 3) 78.33%. The purpose of this study is to prove that we can establish an artificial intelligence (machine learning) system in health. With my…

Biotech with biopython

Estimation of extracellular fluxes and growth rate

In the realm of EKG/ECG analysis, deep learning models have made significant strides. However, the pursuit of efficiency and accuracy persists. The proposed Mamba Biometric EKG Analysis Technology (MambaBEAT) project aims to utilize the Mamba model, a promising sequence modeling architecture, to further advance EKG analysis.

This repository explores the intersection of synthetic biology and artificial intelligence by leveraging mycelium as a bio-computational substrate. The project aims to give AI systems a "body" by integrating machine learning models with the natural properties of mycelium, such as signal conduction, adaptive growth, and environmental reactivity.

EcoMedAgriSynth Integrating AI, gene editing, and synthetic biology to revolutionize medicine, agriculture, and ecology with novel, adaptive life forms.