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1576-mlops-machine-learning

ad_examples

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.

aulaiterativaigti1

notebook da Aula Iterativa NLP com Deep Learning

clustering

Um exemplo de chamada do serviço open refine em Python

contentbasedcontratos

Implementação de sistema de recomendação content based utilizando objetos de contratos.

crawler

Examples of some web scraping applications

deeplearningigti

deepqa

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

exerciciorigti

Exercicio para a segunda aula ao vivo do IGTI

instagram

kdd-cup-2009

kddcup2009

A solution for "KDD Cup 2009: Customer relationship prediction" using Random Forest.

lstm

LSTM with exogenous variables for forecasting

machinelearning_fall2015

BUS 41204: Machine Learning

named-entity-recognition_deeplearning-keras

complete Jupyter notebook for implementation of state-of-the-art Named Entity Recognition with bidirectional LSTMs and ELMo

nlp

Examples of the use of some Python an R packages that can help with the Natural Language Processing

nlp-deep-learning-chatbot

NLP Deep Learning Question & Answer Bot (this is for IGTI)

opfpython

Optimum-Path Forest Algorithm

opfython

A Python-inspired implementation of the Optimum-Path Forest classifier.

poc-kdd-cup-2009

https://www.kdd.org/kdd-cup/view/kdd-cup-2009/

practicalai

A practical approach to learning machine learning.

python-kdd-cup-2009

KDD Cup 2009: Customer relationship prediction

qconsp2018

Contem o notebook Jupyter usado na apresentação "Redes Neurais Dinâmicas com PyTorch"

sentiment-analysis-template

Build a deep learning model for sentiment analysis of IMDB reviews

sf-gad

A statistical framework for graph anomaly detection.

sibgrapi2018_opf

:page_with_curl: Code related to the paper "Unsupervised Dialogue Act Classification with Optimum-Path Forest" presented at Sibgrapi 2018

streaminglogisticregression

Logistic Regression in Spark Streaming with Online Updating

terraform-example-foundation

Example repo showing how the CFT modules can be composed to build a secure cloud foundation.

timeseries_seq2seq

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

tsfresh

Automatic extraction of relevant features from time series: