[NeurIPS 2023] Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective

A curated list of awesome search engines useful during Penetration testing, Vulnerability assessments, Red/Blue Team operations, Bug Bounty and more

A technical report on convolution arithmetic in the context of deep learning

Point2Skeleton: Learning Skeletal Representations from Point Clouds (CVPR2021)

Objetivo desse repositório é construir uma lib para o curso do Gabriel Pato, do Bug ao Bounty, fique a vontade para fazer pull requests.

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

PyTorch implementations of Generative Adversarial Networks.

[CVPR 2020 Oral] PyTorch implementation of "Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition"

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

A lightweight network for body/hand action recognition.

An open access book on scientific visualization using python and matplotlib

Dados diários mais recentes do coronavírus por município brasileiro

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Always know what to expect from your data.

Open Source AI/ML Platform

Modular and minimalistic MLOps recipes

A curated list of references for MLOps

MLOps using Azure ML Services and Azure DevOps

Best Practices on Recommendation Systems

MLOps examples

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

Public materials for Statnet Workshops

Software Tools for the Statistical Analysis of Network Data (meta-package)

Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.

Text and code for the second edition of Think Bayes, by Allen Downey.

📚 Freely available programming books

Azure Machine Learning Lab Notebooks

Play with neural networks!

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