Popular GitHub Repositories for Rational Numbers

Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Packages available at: https://www.nuget.org/profiles/Recognizers.Text, https://www.npmjs.com/~recognizers.text

Implementation of CNN on ZYNQ FPGA to classify handwritten numbers using MNIST database

Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.

CLI for running large numbers of coding agents in parallel with git worktrees

Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.

Library to help implement a complex-valued neural network (cvnn) using tensorflow as back-end

A fast and memory-efficient libarary for sparse transformer with varying token numbers (e.g., 3D point cloud).

Tensorflow tutorial in ROS

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

:traffic_light: Python library to read license plate numbers from images

Chemist AI Agent for Rational Inverse Design of Materials

Robust active flow control over a range of Reynolds numbers using artificial neural network trained through deep reinforcement learning

Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning

Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.

Fetch.ai Carpark agent - A Raspberry Pi CCTV camera project to broadcast numbers of available car parking spaces on the Fetch.ai network

To take attendance using face detection. Many images still incrementing intelligently and telling unkown users numbers.

Automatic method for the recognition of hand gestures for the categorization of vowels and numbers in Colombian sign language based on Neural Networks (Perceptrons), Support Vector Machine and K-Nearest Neighbor for classifier /// Método automático para el reconocimiento de gestos de mano para la categorización de vocales y números en lenguaje de se?as colombiano basado en redes neuronales (perceptrones), soporte de máquina vectorial y K-vecino más cercano para clasificador

This project demonstrates function-calling with Python and Ollama, utilizing the Africa's Talking API to send airtime and messages to phone numbers using natural language prompts. Ollama + LLM w/ functions + Natural language = User Interface for non-coders.

A Python library for text normalization, specifically designed for Vietnamese and English text processing. This library provides comprehensive text normalization capabilities including handling of special characters, numbers, dates, and various text formats.

Thanks to digitization, we often have access to large databases, consisting of various fields of information, ranging from numbers to texts and even boolean values. Such databases lend themselves especially well to machine learning, classification and big data analysis tasks. We are able to train classifiers, using already existing data and use them for predicting the values of a certain field, given that we have information regarding the other fields. Most specifically, in this study, we look at the Electronic Health Records (EHRs) that are compiled by hospitals. These EHRs are convenient means of accessing data of individual patients, but there processing as a whole still remains a task. However, EHRs that are composed of coherent, well-tabulated structures lend themselves quite well to the application to machine language, via the usage