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Name: Julio C.
Type: User
Company: INAOE
Bio: Numerical solution of PDEs, Computational Biology, Machine Learning, Scientific Software and Parallel Computing
Twitter: jcp_sansalvador
Location: Puebla, Mexico
Name: Julio C.
Type: User
Company: INAOE
Bio: Numerical solution of PDEs, Computational Biology, Machine Learning, Scientific Software and Parallel Computing
Twitter: jcp_sansalvador
Location: Puebla, Mexico
This repository contains the code and documentation to implement ACME (Automatic Cell Migration Examination).
Arduino library for Sensirion SPS30
BreakHist Dataset contains histopathological images of eight types of breast cancer, including four benign cancer and for malignant cancer. In this project, I have trained and fined tuned many of the existing CNN models to get over 80% accuracy in multi-class classification.
Cellular Automatas and Applications
cellular automata for pedestrian dynamics
Thesis project that creates a cellular automata to simulate the simulation of pedestrians in an emergency situation
Example Matlab code for fitting basic tumour immune model (from CRM Workshop on Computational Modelling of Cancer Biology and Treatments)
COVID19-L3-Net
Easy to use, test concepts and parallel computer vision framework
A case study for the Software System Design based on Patterns for Newton-Type Methods
DeepNovo workflow of neoantigen discovery by personalized de novo sequencing.
DLBCL-Morph dataset containing high resolution tissue microarray scans from 209 DLBCL cases, with geometric features computed using deep learning
Documentation files
A bestiary of evolutionary, swarm and other metaphor-based algorithms
Programming accelerated applications with CUDA C/C++, enough to be able to begin work accelerating your own CPU-only applications for performance gains, and for moving into novel computational territory.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Hello world example
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
A set of software tools commonly used as part of the LVC projects
Mastering OpenCV 4 with Python, published by Packt
The code of paper "Multimodality Spatial Hierarchical Feature Learning for the Metastasis Subtype Prediction of Soft-Tissue Sarcomas in PET-CT Images"
Machine Learning with sklearn tutorials (for Pearson)
A deep neural network for the identification of the fetal and mother hearth rate on NI-FECG signals
Source code for 'Numerical Python Second Edition' by Robert Johansson
A simple QML application to show video captured from a frame grabber
Single Qt Application to capture video from /dev/video* (where * is a number in the range [0,7])
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.