andre-almd
I am an Electrical Engineer currently working in Industry 4.0 with Data Science and Artificial Intelligence.
IHM StefaniniBrazil
andre-almd's Stars
intro-to-data-science-21/lectures
Introduction to Data Science
DataTalksClub/mlops-zoomcamp
Free MLOps course from DataTalks.Club
rdemarqui/python-causality-handbook-ptbr
Inferência Causal para os Corajosos e Verdadeiros. Uma abordagem divertida, mas rigorosa, para aprender sobre estimativa de impacto e causalidade.
jbhuang0604/awesome-computer-vision
A curated list of awesome computer vision resources
gedeck/practical-statistics-for-data-scientists
Code repository for O'Reilly book
polygon-software/python-visual-odometry
Python implementation of Visual Odometry algorithms from http://rpg.ifi.uzh.ch/
iterative/dvc
🦉 Data Versioning and ML Experiments
cerlymarco/MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
AUTOMATIC1111/stable-diffusion-webui
Stable Diffusion web UI
ageron/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
rasbt/machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
rasbt/pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
devicons/devicon
Set of icons representing programming languages, designing & development tools
greyhatguy007/Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
TeoMeWhy/teomerefs
Guia de referências técnicas para carreira em dados
mbientlab/MetaWear-SDK-Python
MetaWear Python SDK - Linux / Windows - Python3
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
AtsushiSakai/PythonRobotics
Python sample codes for robotics algorithms.
mithi/robotics-coursework
🤖 Places where you can learn robotics (and stuff like that) online 🤖
ashishpatel26/Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
michelpf/fiap-ml-visao-computacional
Repositório dos exemplos e desafios utilizados na disciplina de Visão Computacional do curso de MBA Machine Learning da FIAP
sthemonica/alura-voz
Repositório para o #alurachallengedatascience1
SartMorgs/data-engineer-roadmap
Roadmap para me tornar uma engenheira de dados. [Roadmap to becoming a data engineer].
escolalivre-ia/aulas
Escola Livre de IA, Inteligência Artificial ao alcance de todos
EscVM/OIDv4_ToolKit
Download and visualize single or multiple classes from the huge Open Images v4 dataset
dalcimar/RC18EE---Intro-to-Deep-Learning
udacity/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
jjviana/QConSP2018
Contem o notebook Jupyter usado na apresentação "Redes Neurais Dinâmicas com PyTorch"