LaTeX-OCR
transformer-pytorch
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LaTeX-OCR | transformer-pytorch | |
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21 | 2 | |
10,711 | 2,152 | |
- | - | |
3.6 | 2.1 | |
28 days ago | 9 days ago | |
Python | Python | |
MIT License | - |
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LaTeX-OCR
- Detexify LaTeX Handwriting Symbol Recognition
- Pix2tex: Using a ViT to convert images of equations into LaTeX code
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Why copyng a math formula gives me duplicated characters
I didn't know that such tools exists (completly new to LaTex). Thanks to your suggestion I looked for an open source althernative (to avoid anoyances of freemium) and I found pix2tex That works really like a charm.
- I have just started using LaTeX in my Physics and Math courses and I love it and want to learn all about it. Does anyone know any obscure (or well known that I just don't know about) things about LaTeX that are really cool and helpful?
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Github packages/Apps that are must have for Physicists using Linux
I have recently discovered a few very helpful github packages which help me make notes while listening to lectures. These would be 1. pix2tex (allows you to scan an equation and convert it to latex) 2. pix2text (allows you to scan an equation with words in it and converts it to latex and text) 3. Tesseract (not really a physics related package, but it does allow me to copy notes from transcripts easily) 4. Mathpix an app that performs all the above mentioned operations better than the packages above, but one which ain't free.
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The fastest math typesetting library for the web
This is also a great aid to learing LaTex. I wonder if anyone has ever tried to make an OCR system that generates the appropriate LaTex from an picture of an equation?
Turns out the answer is yes:
https://github.com/lukas-blecher/LaTeX-OCR
- A very useful package which I don't know to set up
- LaTeX AI
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Any alternatives to Mathpix/Latex-OCR?
LaTeX-OCR
transformer-pytorch
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Is GPT actually using the encoder NOT the decoder part of the transformer?
In the original paper they mention they are only using the decoder part of the model. However, their description and implementations seem to be using the encoder part of the transformer not the encoder. For example, this implementation of the original transformer encoder layer matches what the one in the GPT implementation.
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[P] Implementation of Transformer with detailed and easy description comments
I implemented the Transformer model of Google Brain using Pytorch. It was specially written together in very detailed and easy explanatory comments. If you're a beginner who wants to implement Transformer, look at my code and try it! Detailed code can be found here. (https://github.com/hyunwoongko/transformer-pytorch)
What are some alternatives?
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
PaperTools - Tools for writing papers
bertviz - BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
BERT-pytorch - Google AI 2018 BERT pytorch implementation
mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox
attention-is-all-you-need-pytorch - A PyTorch implementation of the Transformer model in "Attention is All You Need".
rebiber - A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
minGPT - A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Pix2Text - Pix In, Latex & Text Out. Recognize Chinese, English Texts, and Math Formulas from Images. 80+ languages are supported.
how_attentive_are_gats - Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)