Ivan Zapata's repositories
api-colombia
Public api that contains info about Colombia, departments, cities, tourists places and presidents
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Building-Python-Web-APIs-with-FastAPI
Building Python Web APIs with FastAPI, published by Packt
caudalimetro
trabajos con el RQ-30 de Sommer
cintia2023
Taller Tutorial para la Conferencia Internacional Aplicaciones en Inteligencia Artificial
estacion_arduino
Este repositorio contiene los avances de la tesina de la estudiante Karen Acosta, enmarcado en el proyecto de calidad de aire que se lleva a cabo en el Laboratorio de Instrumentación Electrónica de la UTEC
jetson-inference
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Laser_control
Open-Source Laser for control mosquito, weed, and pest
pico-micropython-examples
Examples to accompany the "Raspberry Pi Pico Python SDK" book.
plotly-resampler
Visualize large time series data with plotly.py
public-apis
A collective list of free APIs
Python_Computer_Vision_from_Scratch
This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.
sample-flask-charts-js
Flask Charts - Flask-RestX and Charts.JS | AppSeed
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.
Speed-Estimation-of-Vehicles-with-Plate-Detection
The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisition of series of images from the video, trucks are detected using Haar Cascade Classifier. The model for the classifier is trained using lots of positive and negative images to make an XML file. This is followed b
taller_practico
Taller Tutorial para el seminario de GIT de ARIA
TinyML-Cookbook_2E
TinyML Cookbook, 2E_Published by Packt
TinyML4D
Community of researchers and practitioners focused on both improving access to TinyML education and enabling innovative solutions for the unique challenges faced by Developing Countries.
UNIFEI-IESTI01-TinyML-2022.1
Course Repository - TinyML - Machine Learning for Embedding Devices
UNIFEI-IESTI01-TinyML-2023.1
TinyML - Machine Learning for Embedding Devices
zephyr
Primary Git Repository for the Zephyr Project. Zephyr is a new generation, scalable, optimized, secure RTOS for multiple hardware architectures.