pabloazevedo Goto Github PK
Name: Pablo de Azevedo
Type: User
Company: Trambio Tech
Location: Brasil
Name: Pablo de Azevedo
Type: User
Company: Trambio Tech
Location: Brasil
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
Python code to use the PCA9685 PWM servo/LED controller with a Raspberry Pi or BeagleBone black.
Anomaly detection related books, papers, videos, and toolboxes
OpenCV Python Neural Network Autonomous RC Car
A curated list of amazingly awesome Cybersecurity datasets
:octocat: Machine Learning for Cyber Security
A topic-centric list of HQ open datasets. PR ☛☛☛
All Algorithms implemented in C
All Algorithms implemented in C++
List of Computer Science courses with video lectures.
cuML - RAPIDS Machine Learning Library
code accompanying "DeepBach: a Steerable Model for Bach Chorales Generation" paper
A Deep Learning based project for colorizing and restoring old images (and video!)
Docker Apache Airflow
Multiple node cluster on Docker for self development.
ML Ops Accelerator: Databricks & Azure Machine Learning Unification
Algorithms Implemented in GoLang
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.
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.
A library for transfer learning by reusing parts of TensorFlow models.
All Algorithms implemented in Java
A repository for All algorithms implemented in Javascript (for educational purposes only)
BNP Paribas Cardif Claims Management
Deep Learning for humans
Machine Learning Toolkit for Kubernetes
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.