error-correction

pycorrector is a toolkit for text error correction. 文本纠错，实现了Kenlm，T5，MacBERT，ChatGLM3，Qwen2.5等模型应用在纠错场景，开箱即用。

⏳🛡 Pythonic universal errors-and-erasures Reed-Solomon codec to protect your data from errors and bitrot. Includes a future-proof zero-dependencies pure-python implementation 🔮 and an optional speed-optimized Cython/C extension 🚀

WIP: Next-gen network protocol for reliable data transfer in lossy environments. Outperforms TCP/UDP in high packet loss scenarios.

A VPN Designed for Lossy Links, with Build-in Forward Error Correction(FEC) Support. Improves your Network Quality on a High-latency Lossy Link. Optimized for gaming.

A curated list of awesome papers on contextualizing E2E ASR outputs

Content of the Error Correction Zoo, stored in structured YAML format

FlamingPy is a cross-platform Python library with a variety of backends for efficient simulations of error correction in fault-tolerant quantum computers.

OCR Machine Learning in python

Control the fabulous Disk Archiver `dar` for full, differential or incremental backups with error correction + restore test.

Reed Solomon BCH encoder and decoder

Derives consensus sequences from a set of long noisy reads by clustering and error correction.

BBTools: Official suite of fast, multithreaded bioinformatics tools for DNA/RNA analysis. BBMap aligner, BBDuk trimmer, BBMerge, and 90+ other tools. Actively maintained by Brian Bushnell.

Comparte tu conexión Wifi usando un QR. En este proyecto, se utiliza la librería qrcode de Python para generar un código QR con la información necesaria para realizar automáticamente la conexión de un dispositivo móvil a una red Wifi.

A class that is able to develop any (n, k) linear code. Includes an implementation of an ASCII correcting linear code along with a simulation of error correction.

MATLAB/Octave generator of Hamming ECC coding. Output format is Verilog HDL.

A full-text error corrector for English based on transformers and deep learning

DRAM error-correction code (ECC) simulator incorporating statistical error properties and DRAM design characteristics for inferring pre-correction error characteristics using only the post-correction errors. Described in the 2019 DSN paper by Patel et al.: https://people.inf.ethz.ch/omutlu/pub/understanding-and-modeling-in-DRAM-ECC_dsn19.pdf.

ArborParser is a powerful Python library designed to parse structured text documents and convert them into a tree representation based on hierarchical headings. It intelligently handles various numbering schemes and document inconsistencies, making it ideal for processing outlines, reports, technical documentation, legal texts, and more.

Error correction codes in python.