Multi-Type-TD-TSR VS 100DaysOfML

Compare Multi-Type-TD-TSR vs 100DaysOfML and see what are their differences.

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Multi-Type-TD-TSR 100DaysOfML
4 2
236 120
- -
0.0 0.0
over 1 year ago over 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Multi-Type-TD-TSR

Posts with mentions or reviews of Multi-Type-TD-TSR. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-23.
  • [D] Getting super-level table extraction
    3 projects | /r/MachineLearning | 23 Aug 2022
    Recently, I've been researching extracting tables from image documents. First I tried with pdfs, however, the data extraction libraries like camelot are inconsistent. I found a deep learning model called CascadeTabNet. The detection results are okay but cell recognition is poor. I even found Multi-Type-TD-TSR for table extraction. It uses image processing techniques to find the grids. It performs well on structured and bordered tables. However, it messes up if the cell is not properly aligned. Even if extraction is successful, aggregation of multi-line cells, i.e post-processing, is not very obvious.

100DaysOfML

Posts with mentions or reviews of 100DaysOfML. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning 100DaysOfML yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Multi-Type-TD-TSR and 100DaysOfML you can also consider the following projects:

donut - Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022

MetalTranslate - Customizable machine translation in C++

mt5-M2M-comparison - Comparing M2M and mT5 on a rare language pairs, blog post: https://medium.com/@abdessalemboukil/comparing-facebooks-m2m-to-mt5-in-low-resources-translation-english-yoruba-ef56624d2b75

Recognition-of-logical-document-structures - First approach for recognizing logical document structures like texts, sentences, segments, words, chars and sentence/segment depth based on recurrent neural network grammars.

oemer - End-to-end Optical Music Recognition (OMR) system. Transcribe phone-taken music sheet image into MusicXML, which can be edited and converted to MIDI.

CascadeTabNet - This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

mlreef - The collaboration workspace for Machine Learning

MAGIST-Algorithm - Multi-Agent Generally Intelligent Simultaneous Training Algorithm for Project Zeta

elastic_transformers - Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers

ITC - Computer Science coursework and projects at Tec de Monterrey 👨‍🎓