flikka

Time-MoE

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

elhub-python-sdk

Non official ElHub API sdk for python

domjudge

DOMjudge programming contest jury system

bpm

planar-network-diversion

Planar Network Diversion code in Rust

TimeEval-algorithms

Time series anomaly detection algorithm implementations for TimeEval (Docker-based)

TimeEval

Evaluation Tool for Anomaly Detection Algorithms on Time Series

delta-rs

A native Rust library for Delta Lake, with bindings into Python

reflex

🕸️ Web apps in pure Python 🐍

cristin

gordo

An API-first distributed deployment system of deep learning models using timeseries data to predict the behaviour of systems

Boerge-weight

This graph describes Boerge's weight changes from first measured at March 3, 2022

boosterblaster

A simple game developed for the Commodore 64 for the Booster 2022 Conference

dblpbib

darts

A python library for user-friendly forecasting and anomaly detection on time series.

hamilton

A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton

hvor

DeltaLakeReader

Read Delta tables without any Spark

pyrus-nn

Lightweight, easy to use, micro neural network framework written in Rust w/ no python dependencies

cramjam

Your go-to for easy access to a plethora of compression algorithms, all neatly bundled in one simple installation.

benchmcmc

Benchmark analysis with MCMC

ph

ph — the tabular data shell tool

seismic-zfp

Compress and decompress seismic data

gordo-controller

Kubernetes controller for the Gordo CRD

seglearn

Python module for machine learning time series:

museumghosts

title is self explanatory

OmniaPlant

Documentation on how to get started building industrial applications and services by using Omnia Plant Data Platform

ochre

OCR ABC 123

core

:house_with_garden: Open source home automation that puts local control and privacy first.

mlflow

Open source platform for the machine learning lifecycle