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Name: Igor L Pereira
Type: User
Company: Cummins INC
Bio: Data Scientist working in NLP and Anomaly detection projects.
Location: Brasil
Name: Igor L Pereira
Type: User
Company: Cummins INC
Bio: Data Scientist working in NLP and Anomaly detection projects.
Location: Brasil
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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.
Anomaly detection related books, papers, videos, and toolboxes
Anamoly Detection with Autoencoders - Credit Card Fraud Case
A curated list of awesome data labeling tools
Methods to get the probability of a changepoint in a time series.
Big Data Ecosystem Docker
Bayesian Online Changepoint Detection
A tool for building feature stores.
ChatLLaMA 📢 Open source implementation for LLaMA-based ChatGPT runnable in a single GPU. 15x faster training process than ChatGPT
Cookiecutter template for a Python package.
Cheat Sheets
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
Repositório do Deep Learning Book - www.deeplearningbook.com.br
detectron2 windows build
A DBAPI and SQLAlchemy dialect for Elasticsearch
Introduction to Empirical Bayes: Examples from Baseball Statistics
Using Python to recreate the code and charts used throughout David Robinson's Introduction to Empirical Bayes
pack og general scripts
ML made simple
Tool to create ML project structure inside the databricks framework
jupyter_datascience
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
An LSTM Autoencoder for rare event classification
A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper
This repo is about some math animations I like to make.
Repository containing notebooks of my posts on Medium
Open source platform for the machine learning lifecycle
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.