Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)

LakeSail's computation framework with a mission to unify batch processing, stream processing, and compute-intensive (AI) workloads.

Small Modbus slave, RTU (serial) for Arduino

A Rust struct representing a Modbus Buffer, allowing to decode a modbus data stream without 'silences'

Simple yet powerful multi-line text editor widget for ratatui and tui-rs

A high-performance task scheduling system developed in Rust using Tokio, supporting task persistence, repeatable tasks, and Cron-based scheduling. The system ensures that tasks can be restored afte…

Build smaller, faster, and more secure desktop and mobile applications with a web frontend.

Rust library for reading/writing numbers in big-endian and little-endian.

A datetime library for Rust that encourages you to jump into the pit of success.

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

Mirror of https://gitlab.redox-os.org/redox-os/redox

Slint is a declarative GUI toolkit to build native user interfaces for Rust, C++, or JavaScript apps.

PyTorch implementation of "Drift doesn't Matter: Dynamic Decomposition with Dffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection" (NeurIPS 2023)

[official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model", AISTATS 2023]

Based on the November 2024 Seattle Rust User Group Embedded Project

Peripheral access API for STM32G4 series microcontrollers

The `boring` SSH tunnel manager

Lightweight server monitoring hub with historical data, docker stats, and alerts.

This is a pytorch implementation of k-means clustering algorithm

About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

Chronos: Pretrained Models for Probabilistic Time Series Forecasting

An async no_std HTTP server suitable for bare-metal environments, heavily inspired by axum

PyTorch implementations of KMeans, Soft-KMeans and Constrained-KMeans which can be run on GPU and work on (mini-)batches of data.