Name: Cesar Mendez
Type: User
Company: Wizeline
Bio: An A.I, data analytics and videogames enthusiast, experienced in the IoT/smart cities industry in the middle east ecosystem and the oil &gas industry in México
Twitter: devcsar
Location: Villahermosa, Tab. México
Blog: https://csar.dev
Cesar Mendez's Projects
Approaching (Almost) Any Machine Learning Problem
ASP.NET Core is a cross-platform .NET framework for building modern cloud-based web applications on Windows, Mac, or Linux.
A lightweight NuGet and symbol server
recursos publicos en la plataforma android para el ITVH
CoreCLR is the runtime for .NET Core. It includes the garbage collector, JIT compiler, primitive data types and low-level classes.
Teaching materials for the applied machine learning course at Cornell Tech
COVID Atlas is a risk measurement platform for Citizens and Governments to have a better understanding and decision making on their daily life’s during pandemic events, by combining satellite imagery, economic data and health statistics in near real time.
data-bootcamp-terraforms
Code for Data Engineer Zoomcamp course
Cross-platform .NET sample microservices and container based application that runs on Linux Windows and macOS. Powered by .NET Core 3.0, Docker Containers and Azure Kubernetes Services. Supports Visual Studio, VS for Mac and CLI based environments with Docker CLI, dotnet CLI, VS Code or any other code editor.
Pagina web demo para el hackathon Tabasco
Esto es un demo
JavaScript Style Guide
Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
Kepler.gl port to showcase csar.dev demos
List of 48 languages for Laravel4/5
A model-agnostic visual debugging tool for machine learning
proyecto de la materia de diseño web, ing en sistemas computacionales, Instituto Tecnologico de Villahermosa
proyectto movil
The Ultimate FREE Machine Learning Study Plan
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Trainning for development with Microsoft Technologies
This is a sample showing how to do real-time video analytics with NVIDIA DeepStream connected to Azure via Azure IoT Edge. It uses a NVIDIA Jetson Nano device that can process up to 8 real-time video streams concurrently.