Pinned Repositories
26-Weeks-Of-Data-Science
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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.
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
anomaly-detection-with-autoencoders
Anamoly Detection with Autoencoders - Credit Card Fraud Case
DeepLearningBook
Repositório do Deep Learning Book - www.deeplearningbook.com.br
hermione_databricks
Tool to create ML project structure inside the databricks framework
KitNET-py
KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
tfcausalimpact
Google's Causal Impact Algorithm Implemented on Top of TensorFlow Probability
igorpereirabr1's Repositories
igorpereirabr1/hermione_databricks
Tool to create ML project structure inside the databricks framework
igorpereirabr1/DeepLearningBook
Repositório do Deep Learning Book - www.deeplearningbook.com.br
igorpereirabr1/MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
igorpereirabr1/tfcausalimpact
Google's Causal Impact Algorithm Implemented on Top of TensorFlow Probability
igorpereirabr1/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.
igorpereirabr1/anomaly-detection-with-autoencoders
Anamoly Detection with Autoencoders - Credit Card Fraud Case
igorpereirabr1/awesome-data-labeling
A curated list of awesome data labeling tools
igorpereirabr1/bayesian_changepoint_detection
Methods to get the probability of a changepoint in a time series.
igorpereirabr1/bigdata_docker
Big Data Ecosystem Docker
igorpereirabr1/butterfree
A tool for building feature stores.
igorpereirabr1/chatllama
ChatLLaMA 📢 Open source implementation for LLaMA-based ChatGPT runnable in a single GPU. 15x faster training process than ChatGPT
igorpereirabr1/Deep-Learning-For-Hackers
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)
igorpereirabr1/elasticsearch-dbapi
A DBAPI and SQLAlchemy dialect for Elasticsearch
igorpereirabr1/general_scripts
pack og general scripts
igorpereirabr1/hermione
ML made simple
igorpereirabr1/jupyter_datascience
jupyter_datascience
igorpereirabr1/Kalman-and-Bayesian-Filters-in-Python
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.
igorpereirabr1/math-animations
This repo is about some math animations I like to make.
igorpereirabr1/mlflow
Open source platform for the machine learning lifecycle
igorpereirabr1/Notebooks_SparkML
igorpereirabr1/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
igorpereirabr1/python-broadlink
Python module for controlling Broadlink RM2/3 (Pro) remote controls, A1 sensor platforms and SP2/3 smartplugs
igorpereirabr1/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
igorpereirabr1/Taboola-Starship-Internship
Description
igorpereirabr1/telemanom
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
igorpereirabr1/tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
igorpereirabr1/Transformer-Time-Series-Forecasting
igorpereirabr1/tsmoothie
A python library for time-series smoothing and outlier detection in a vectorized way.
igorpereirabr1/vaex
Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second 🚀
igorpereirabr1/YouTubeLI
Github repo to upload demo files of youtube videos and linkedin