Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
ETL, document parsing, web crawling, synthetic data generation, annotation and dataset curation tooling.
Signals: data-engineering, etl, data-pipeline, web-scraping, crawler, data-labeling, annotation-tool, synthetic-data
464 results
Effective Data Augmentation With Diffusion Models
The Open-Source Data Annotation Platform
Implementation of paper Data Engineering for Scaling Language Models to 128K Context
Intelligent proxy pool for Humans™ to extract content from the internet and build your own Large Language Models in this new AI era
🔦 A Pytorch implementation of GoogleBrain's SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
IntelliScraper: An advanced, intelligent web scraping tool leveraging BeautifulSoup and machine learning for efficient data extraction and analysis.
Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland.
A python program that uses the concept of OCR using machine learning to identify the characters on a Nigerian license plate
A ruby gem for elegant data science and machine learning
Augment Beancount importers with machine learning functionality.
Descriptor computation(chemistry) and (optional) storage for machine learning
Data Shapley: Equitable Valuation of Data for Machine Learning
[Open-Source Project] Combining MMOCR with Segment Anything & Stable Diffusion. Automatically detect, recognize and segment text instances, with serval downstream tasks, e.g., Text Removal and Text Inpainting
Multilingual Document Layout Parsing in a Single Vision-Language Model
Synthetic data generation demo using a UK retail transactional dataset. Ideal for professionals in retail, e-commerce, finance, and supply chain sectors who want to create privacy-preserving, realistic synthetic data for testing, analysis, and machine learning.
apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
100+ SQL Scripts - PostgreSQL, MySQL, Oracle, Google BigQuery, MariaDB, AWS Athena. DBA, Analytics, DevOps, performance engineering. Google BigQuery ML machine learning classification.
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
An exercise in unsupervised machine learning: Extract Article's Text in HTml documents.
Tools for extracting tables and results from Machine Learning papers
A library for machine learning research on motion capture data
:dart: Personal data science and machine learning toolbox
Python module for machine learning time series:
24,544 repositories in the index in total.
