Firmware for the Xteink X4 e-paper display reader

This repo offers a simple interface that helps you to read&summerize research papers in pdf format. You can ask some questions after reading. This interface is developed based on openai API and using GPT-3.5-turbo model.

This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.

开源的每日 arXiv / OpenReview 论文推荐与 AI 阅读平台，支持 GitHub Actions 自动更新、GitHub Pages 部署与论文问答。

E-reader Launcher for Android, Electronic paper book...

Lightweight open-source firmware for Xteink X4 e-paper reader • EPUB/FB2/MD/TXT support • Custom themes & fonts

🎯 Read research papers faster with AI. Resophy is an HTML-based AI paper reader with: 🤖 AI Translation & Analysis — instantly understand structure, contributions, and results 🚀 Daily arXiv Recommendations — discover relevant papers with less noise 🛠️ Vibe Coding Oriented — agent-friendly and easy to customize

A DIY reader for vintage 8-bit paper tapes

PyTorch implementation of the ACL 2019 paper "Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader"

Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 2021)

Anything Manga reader! Paper Reading tool for ADHD and dyslexia or just manga otaku.

A multi-platform E-paper TXT reader program for ESP8266 and ESP32 chips

A simple prototype E-Book reader for the M5Stack Paper.

Implementation of the retriever distillation procedure as outlined in the paper "Distilling Knowledge from Reader to Retriever"

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Hi all, some readers ask me the code for channel modeling and Algorithms in the paper "Hybrid Relay-Reflecting Intelligent Surface-Assisted Wireless Communication" (available on https://arxiv.org/pdf/2103.03900.pdf ). I upload them here, and hope this helps!!!

we introduce a new framework for running the finite element (FE) packages inside an online Loop together with MATLAB. Contrary to the Hardware-in-the-Loop techniques (HiL), in the proposed Software-in-the-Loop framework (SiL), the FE package represents a simulation platform replicating the real system which can be out of access due to several strategic reasons, e.g., costs and accessibility. Practically, SiL for sophisticated structural design and multi-physical simulations provides a platform for preliminary tests before prototyping and mass production. This feature may reduce the new product’s costs significantly and may add several flexibilities in implementing different instruments with the goal of shortlisting the most cost-effective ones before moving to real-time experiments for the civil and mechanical systems. The proposed SiL interconnection is not limited to ABAQUS as long as the host FE package is capable of executing user-defined commands in FORTRAN language. The focal point of this research is on using the compiled FORTRAN subroutine as a messenger between ABAQUS/CAE kernel and MATLAB Engine. In order to show the generality of the proposed scheme, the limitations of the available SiL schemes in the literature are addressed in this paper. Additionally, all technical details for establishing the connection between FEM and MATLAB are provided for the interested reader. Finally, two numerical sub-problems are defined for offline and online post-processing, i.e., offline optimization and closed-loop system performance analysis in control theory. Keywords: software-in-the-loop; finite element; optimal placement; structural optimization; vibration control.

Official repository for EMNLP'22 paper: Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering

AI agent for creating personalized digests of research papers

M5Paper-based e-book reader supporting ePub format, with GUI created using LVGL. Currently rather a PoC than a fully usable piece of software.

Use LLM and arxiv reader to obtain arxiv paper every day; Please check Wiki page or the ReadingCollectionWebsite

Android app to support Fighting Fantasy gamebook playing without the use of additional pen, paper and dice. The objective is for the reader to immerse himself fully on the book and let the app do the rest of the work. The objective of this application is to support the distinct rules of each Fighting Fantasy gamebook.

A topic model which can identify bilingual topics across unaligned corpus using dictionary. An implementation of the paper "Detecting Common Discussion Topics Across Culture From News Reader Comments (Shi et al., ACL2016)"

Cross-platform CLI tool for flashing firmware to Xteink X4 e-paper reader devices (ESP32-C3). Features auto-detection, embedded bootloader, MD5 verification, and progress display.

Our project is based on one of the most important application of machine learning i.e. pattern recognition. Optical character recognition or optical character reader is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo or from subtitle text superimposed on an image. We are working on developing an OCR for URDU. We studied a couple of research papers related to our project. So far, we have found that Both Arabic and Urdu are written in Perso-Arabic script; at the written level, therefore, they share similarities. The styles of Arabic and Persian writing have a heavy influence on the Urdu script. There are 6 major styles for writing Arabic, Persian and Pashto as well. Urdu is written in Naskh writing style which is most famous of all. Optical character recognition (OCR) is the process of converting an image of text, such as a scanned paper document or electronic fax file, into computer-editable text [1]. The text in an image is not editable: the letters are made of tiny dots (pixels) that together form a picture of text. During OCR, the software analyzes an image and converts the pictures of the characters to editable text based on the patterns of the pixels in the image. After OCR, the converted text can be exported and used with a variety of word-processing, page layout and spreadsheet applications [2]. One of the main aims of OCR is to emulate the human ability to read at a much faster rate by associating symbolic identities with images of characters. Its potential applications include Screen Readers, Refreshable Braille Displays [3], reading customer filled forms, reading postal address off envelops, archiving and retrieving text etc. OCR’s ultimate goal is to develop a communication interface between the computer and its potential users. Urdu is the national language of Pakistan. It is a language that is understood by over 300 million people belonging to Pakistan, India and Bangladesh. Due to its historical database of literature, there is definitely a need to devise automatic systems for conversion of this literature into electronic form that may be accessible on the worldwide web. Although much work has been done in the field of OCR, Urdu and other languages using the Arabic script like Farsi, Urdu and Arabic, have received least attention. This is due in part to a lack of interest in the field and in part to the intricacies of the Arabic script. Owing to this state of indifference, there remains a huge amount of Urdu and Arabic literature unattended and rotting away on some old shelves. The proposed research aims to develop workable solutions to many of the problems faced in realization of an OCR designed specifically for Urdu Noori Nastaleeq Script, which is widely used in Urdu newspapers, governmental documents and books. The underlying processes first isolate and classify ligatures based on certain carefully chosen special, contour and statistical features and eventually recognize them with the aid of Feed-Forward Back Propagation Neural Networks. The input to the system is a monochrome bitmap image file of Urdu text written in Noori Nastaleeq and the output is the equivalent text converted to an editable text file.

An MCP server that empowers AI assistants (Cursor, Claude, Cherry Studio) to search, read, and summarize arXiv papers directly.

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Punched paper tape reader - 3D model and source code

M5Stack Paper S3 e-ink Chinese book reader & traditional almanac calendar (農曆/黃曆) with 八字, weather, Cangjie input, and more

Crosspoint port for M5Stack Paper S3