Deploy Python FastAPI serverless application on Azure Functions

This repository provides a scalable baseline for Azure Function written in Python.

UNet diffusion model in pure CUDA

An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.

The toolbox implements the data conversion from CAD models (such as .obj/.off file) to point cloud(surface voxels) with RGB value and labels.

A sample to run a FastAPI app on Azure Functions

Learn Azure Functions Python V2

Pytorch framework for doing deep learning on point clouds.

Classificação de Objetos em Nuvens de Pontos com DBSCAN

Guide to pass AWS Machine Learning Specialty Certification

AWS MLS-C01 Study Guide

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

Data Engineering with Python, published by Packt

Toolkit for xView2 Challenge: Assessing Building Damage caused by Natural Disasters

Baseline localization and classification models for the xView 2 challenge.

Code for testing various M1 Chip benchmarks with TensorFlow.

Application designed to predict the impacts of climate change and respond to natural disasters using satellite imagery and machine learning.

Notes for Stanford CS224N: Natural Language Processing with Deep Learning.

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Instant voice cloning by MyShell.

Python code accompanying the course "A deep understanding of deep learning (with Python intro)"

Master programming by recreating your favorite technologies from scratch.

Data Structures and Algorithms in Python

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

Dados sobre zonas eleitorais brasileiras em formato aberto

Código que gerou os dados que abastecem o mapa de resultados das Eleições 2018 por local de votação || Source code for generating the data that feeds the 2018 precint-level electoral results map

🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

Easy access to official spatial data sets of Brazil in R and Python