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
Synthetic Minority Over-Sampling Technique for Regression
Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.
A novel approach for synthesizing tabular data using pretrained large language models
plait.py - a fake data modeler
A tool that uses advanced Monte Carlo simulations and Turbit parallel processing to create possible Bitcoin prediction scenarios.
Draw a store, generate LLM personas, and watch them shop — an isometric 3D sandbox for synthetic-consumer experiments.
A curated list of awesome projects which use Machine Learning to generate synthetic content.
A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.
Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips
The Declarative Data Generator
Conditional GAN for generating synthetic tabular data.
Build, enrich, and transform datasets using AI models with no code
A tensorflow re-implementation of RRPN: Arbitrary-Oriented Scene Text Detection via Rotation Proposals.
中文NER的那些事儿
Use CTC + tensorflow to OCR
CNN+LSTM+CTC based OCR implemented using tensorflow.
Attention OCR Based On Tensorflow
This is a tensorflow re-implementation of PSENet: Shape Robust Text Detection with Progressive Scale Expansion Network.My blog:
Tensorflow-based CNN+LSTM trained with CTC-loss for OCR
Rotational region detection based on Faster-RCNN.
🖺 OCR using tensorflow with attention
[验证码识别-部署] This project is based on CNN+BLSTM+CTC to realize verificationtion. This projeccode identificat is only for deployment models.
A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.
End-to-end Chinese scene-text detection and recognition with CTPN, CRNN, and CTC (legacy project).
24,545 repositories in the index in total.
