igorpereirabr1

hermione_databricks

Tool to create ML project structure inside the databricks framework

DeepLearningBook

Repositório do Deep Learning Book - www.deeplearningbook.com.br

MEDIUM_NoteBook

Repository containing notebooks of my posts on Medium

tfcausalimpact

Google's Causal Impact Algorithm Implemented on Top of TensorFlow Probability

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-with-autoencoders

Anamoly Detection with Autoencoders - Credit Card Fraud Case

awesome-data-labeling

A curated list of awesome data labeling tools

bayesian_changepoint_detection

Methods to get the probability of a changepoint in a time series.

bigdata_docker

Big Data Ecosystem Docker

butterfree

A tool for building feature stores.

chatllama

ChatLLaMA 📢 Open source implementation for LLaMA-based ChatGPT runnable in a single GPU. 15x faster training process than ChatGPT

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)

elasticsearch-dbapi

A DBAPI and SQLAlchemy dialect for Elasticsearch

general_scripts

pack og general scripts

hermione

ML made simple

jupyter_datascience

jupyter_datascience

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.

math-animations

This repo is about some math animations I like to make.

mlflow

Open source platform for the machine learning lifecycle

Notebooks_SparkML

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 ;)

python-broadlink

Python module for controlling Broadlink RM2/3 (Pro) remote controls, A1 sensor platforms and SP2/3 smartplugs

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

Taboola-Starship-Internship

Description

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.

tensortrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

Transformer-Time-Series-Forecasting

tsmoothie

A python library for time-series smoothing and outlier detection in a vectorized way.

vaex

Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second 🚀

YouTubeLI

Github repo to upload demo files of youtube videos and linkedin