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3d_machine_learning

3D Machine Learning

aircraft-takeoff-speed-estimation

Vehicle speed estimation using YOLOv8

anti-uav

Repository for Anti-UAV

aws-ml-engineering

A collection of projects and exercises from the AWS Machine Learning Engineering Nanodegree by Udacity.

best-readme-template

An awesome README template to jumpstart your projects!

blender_neural_network

Create an artificial neural network in Blender

blog-sigmoidal

Aprenda Visão Computacional e Data Science

camera-calibration

Examples of camera calibration, camera parameters visualization

carlosfab

carlosfab.github.io

cnn_lenet5

Convolutional Neural Network LeNet5 para o MNIST

computer-vision

Codes, notebooks, and educational materials related to Computer Vision.

conv_arithmetic

Convolution and Transposed Convolution in a Matrix Multiplication View

curso_data_science_na_pratica

Material de apoio do curso "Data Science na Prática" - Sigmoidal

data-etl-pipeline

ETL pipeline for extracting, transforming, and loading data.

data-science-na-pratica

Material de apoio do curso "Data Science na Prática" - Sigmoidal

data_science

Notebooks de análises e projetos de Data Science em Python

dataprojectstarterkit

Estrutura completa para iniciar um projeto de dados com Python, abrangendo ambiente, git, desenvolvimento, testes e documentação.

datasets

Repositório com dados para projetos de Data Science

deep-learning-for-computer-vision

Deep Learning for Computer Vision

depth-anything

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

drone_object_detection

Object detection em tempo real

dsnp2

Data Science na Prática 2.0

dsnp_projeto_ml

Projeto de Machine Learning (DSNP)

escola-data-science

Material de apoio da Escola de Data Science (Sigmoidal)

gathering-of-lecture-exercises

gcndepth

Self-Supervised CNN-GCN Autoencoder for Monocular Depth Estimation

genetic-algorithms-with-python

Projects with Genetic Algorithms

gradientdescentexample

Example demonstrating how gradient descent may be used to solve a linear regression problem

gym

A toolkit for developing and comparing reinforcement learning algorithms.