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。
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Updated
Dec 26, 2024 - Python
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。
An experimental code analyzer for Julia. No need for additional type annotations.
A General Toolbox for Identifying Object Detection Errors
Juliet C/C++ Dynamic Test Suite
Find the samples, in the test data, on which your (generative) model makes mistakes.
A quick alternative to cksfv for generating and verifying CRC32 checksum files.
MAKGED is the first multi-agent framework for collaborative error detection in knowledge graphs.
SPPU Third Year First Sem - Computer Network Lab Codes + Study Plan
Generate strings supplying a simple pattern. Perfect to be used in test data factories. Validate if a text fulfills a specific pattern. Also you can use regular expressions (Regexp) to generate strings: `/[a-z0-9]{2,5}\w+/.gen`. Generate words in English or Spanish.
enhanced bash
Joint text classification on multiple levels with multiple labels, using a multi-head attention mechanism to wire two prediction tasks together.
Propose a principled and practically effective framework for unsupervised accuracy estimation and error detection tasks with theoretical analysis and state-of-the-art performance.
Provide functionality to build statistical models to repair dirty tabular data in Spark
The official implementation of Error Detection in Egocentric Procedural Task Videos
📈 Tools for applying automatic error detection schemes to timeseries
A full-text error corrector for English based on transformers and deep learning
Analyze the content of one or more XML files. NormaTEI is designed mainly for two uses: control of encoding uniformity and encoding analysis
Connect your Klipper printer to MattaOS and join us in creating AI-powered closed-loop control for 3D printing. As a bonus, securely access and control your machines from anywhere whilst using the latest in AI error detection.
Python Codes for Error detection and correction are 2 Dimentional Parity Check (advanced LPC), Longitudinal parity check (LPC), Cyclic redundency check (CRC), simple parity, Check sum, Hamming Code etc
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