nixtasy's Stars
PaddlePaddle/PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
FlowiseAI/Flowise
Drag & drop UI to build your customized LLM flow
qdrant/qdrant
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
euske/pdfminer
Python PDF Parser (Not actively maintained). Check out pdfminer.six.
0xfe/vexflow
A JavaScript library for rendering music notation and guitar tablature.
seatgeek/thefuzz
Fuzzy String Matching in Python
devopshydclub/vprofile-project
noteflakes/awesome-music
Awesome Music Projects
roomylee/awesome-relation-extraction
📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
google-research/tapas
End-to-end neural table-text understanding models.
imnowdevops/ddc-material
earwig/mwparserfromhell
A Python parser for MediaWiki wikicode
hikopensource/DAVAR-Lab-OCR
OCR toolbox from Davar-Lab
bradtraversy/vue-crash-2021
Task Tracker project from youtube crash course
cv-small-snails/Awesome-Table-Recognition
A curated list of resources dedicated to table recognition
wenwenyu/MASTER-pytorch
Code for the paper "MASTER: Multi-Aspect Non-local Network for Scene Text Recognition" (Pattern Recognition 2021)
Abjad/abjad
Abjad is a Python API for building LilyPond files. Use Abjad to make PDFs of music notation.
PaddleOCR-Community/Dive-into-OCR
“Dive Into OCR” is a textbook developed by the PaddleOCR community that integrates OCR theory and practice.
cndplab-founder/ICDAR2019_cTDaR
The ICDAR 2019 cTDaR is to evaluate the performance of methods for table detection (TRACK A) and table recognition (TRACK B). For the first track, document images containing one or several tables are provided. For TRACK B two subtracks exist: the first subtrack (B.1) provides the table region. Thus, only the table structure recognition must be performed. The second subtrack (B.2) provides no a-priori information. This means, the table region and table structure detection has to be done.
grame-cncm/guidolib
Guido project - music score layout engine - music description language
ppasupat/WikiTableQuestions
A dataset of complex questions on semi-structured Wikipedia tables
manideep2510/siamese-BERT-fake-news-detection-LIAR
Triple Branch BERT Siamese Network for fake news classification on LIAR-PLUS dataset in PyTorch
sunlab-osu/TURL
Code and data for "TURL: Table Understanding through Representation Learning"
Pay20Y/SAR_TF
This is an implementation of Show, Attend and Read with tensorflow
dimashyshkin/selenium-python
Selenium WebDriver with Python for beginners
symon-storozhenko/playwrightTutorial
NielsRogge/tapas_utils
A package containing utils for the PyTorch version of the Tapas algorithm.
nixtasy/music-search
Semantic search engine for finding your favourite music according to the lyrics
csweeney285/TableExtractor
Group Project for Professor Hirsa at Columbia University to extract captions from tables in a pdf.
davletov-aa/meas-eval