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audiosignalprocessingforml

Code and slides of my YouTube series called "Audio Signal Proessing for Machine Learning"

auto_ts

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

avenir

Set of Machine Learning and Stochastic Optimazion tools based on Hadoop, Spark and Storm https://pkghosh.wordpress.com/

beymani

Hadoop, Spark and Storm based anomaly detection implementations for data quality, cyber security, fraud detection etc.

case-studies-python

An introduction to the practicing neuroscientist to data analysis in Python

chaos_genius

Open-source analytics engine for applying AI and ML to monitor and analyse high-dimensionality business & system metrics.

clusteringalgorithmselection

Clustering Algorithm Selection Using Meta-Learning and Landmarking

crucible

Anomaly detection training suite

deep_xf

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

deepglo

This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the paper.

deltapy

DeltaPy - Tabular Data Augmentation (by @firmai)

emergency_datahack_nss

The repository contains the data of the NSS lab team for the hackathon "Emergency DataHack"

emlyn-ipython-notebooks

A collection of ipython notebooks for demonstration and presentation purposes

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

mtf-deep-dive

Deep dive on Markov transition fields applied to time series analysis

multirocket

Multiple pooling operators and transformations for fast and effective time series classification

netdata

Real-time performance monitoring, done right! https://www.netdata.cloud

nitrofe

NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.

oculus

The metric correlation component of Etsy's Kale system

paas-data-ingestion

Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable manner

playerank

python-signal-processing

splearn: package for signal processing and machine learning with Python. Contains tutorials on understanding and applying signal processing.

python-spark-streaming

rrcf

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

rules_grafana

Bazel rules for building Grafana dashboards

saxpy

Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python

skyline

It'll detect your anomalies! Part of the Kale stack.

skyline-1

Anomaly detection

time_series_forecasting

time_series_forecasting-1