Alexandre Yucra's starred repositories
awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
Tutorial-Book-Utils
data loader function for tutorial book
lambda-layers
Several layers for AWS Lambda
The-Complete-FAANG-Preparation
This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.
arquitetura-modelo
Implementando Dapper e Dapper Extensions no ASP.NET MVC usando DDD, SOLID, DI, IOC, CrossCutting e SelfValidation
mathematics-roadmap
A Comprehensive Roadmap to Mathematics
ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
-CCTV-v380-pro-python
Research on v380 Pro CCTV IP Camera
V380_Python
Python source code for V380
terraform-inventory
Terraform State → Ansible Dynamic Inventory
react-nginx-buildpack
Heroku Buildpack for create-react-app: static hosting for React.js web apps
spring-master-class
An updated introduction to the Spring Framework 5. Become an Expert understanding the core features of Spring In Depth. You would write Unit Tests, AOP, JDBC and JPA code during the course. Includes introductions to Spring Boot, JPA, Eclipse, Maven, JUnit and Mockito.
azure-quickstart-templates
Azure Quickstart Templates
linkedin-skill-assessments-quizzes
Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
coding-interview-university
A complete computer science study plan to become a software engineer.
grupo-g2-pi-2022
Repositório para o Grupo G2 de Pesquisa e Inovação da turma de Ciência da Computação da SPTech
language-models
pre-trained Language Models
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Awesome-Rust-MachineLearning
This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀
machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.