Name: Rahul Thorat
Type: User
anomaly-detection-web-app
A web app is built to detect anomalies in data.
bootstrap-dashboard-web-app
This dashboard is an example to design and style a dashboard app completely in python with Dash Bootstrap.
classificeren-van-organisaties
de automatische classificatie van organisaties Gezondheid, Sport en Onderwijs
comparison-text-target-vs-source
Comparison-text-target-vs-source
control_bekende_malafide_handelspartijen
match email domains from an input Excel file with a list of known domains of malafide practices
copy-geoplot-geopandas
copied code to plot a map with geoplot and geopandas
data-repositories-download
Importing repositories from Re3data
discipline-classification-01
This is a code to be run in Google Colab.
discipline-classification-02
This is a code to run in Google Colab.
discipline_analyses_of_proposals
It is important for a granting agency to know how the distribution of the applications qua disciplines is. Ė How many applications belong to Exact Science disciplines, how many fall within one discipline? Ė How many applications with disciplines outside exact sciences domain have been submitted?
entity-extraction-01
Entity Extraction from PDF files using spacy NLP model
extract-scientific-output
This is a code to collect publication information of researchers, if digital object information (DOIs) is available.
faillissement_2023_analyse
Python-script dat gegevens over faillissementen voor het jaar 2023 analyseert en visualiseert
faillissement_2024_analyse
Python-script dat data over faillissementen voor het jaar 2024 analyseert en visualiseert
filtering_reviewers_from_expert_lookup
Funders use Expert Lookup for a list of reviewers for submitted research proposals. It still takes a lot of time to check whether the selected reviewers from Expert Lookup have already in contact with the funder or whether they have already assessed a proposal. With this code a funder can easily filter list of reviewers.
fraud-detection-in-subsidy-applications
whether the companies submitting subsidy applications to government have been suspected of fraud or commited fraud in the past.
iterate-in-pandas
Following codes provide better ways to iterate in pandas dataframe over rows instead of nested loops
ner_model_prodigy
Building a natural language processing custom model with annotation tool prodi.gy
pattern-matching-functions
functions for matching pattern such as symbols, name, e-mail adress, hyperlinks, string
piper-text-to-speech
Running a local Piper TTS server with Python on ubuntu 24.04
portfolio
Following are a few diagrams as examples to show various types of relationships among grant proposals.
prodigy-labels
Importing prodi.gy dataset in jupyter notebook, reading labels and exporting list of words per label
proposal_info_elsevier_expert_lookup_01
Funding organisations who use Elsevier Expert Lookup for searching reviewers for subsidy applications manually place application information per subsidy round in the Expert Lookup. That takes a lot of time and energy. By automatically placing the application information in the Expert Lookup, funding organisations can save a lot of time. Elsevier Expert Lookup provides format in which it can take the lumsum application information. This code provides missing gap, where the lumsum applications information from funding organisation is converted into the format to upload the lumsum information in Expert Lookup.
proposal_info_elsevier_expert_lookup_02
Funding organisations who use Elsevier Expert Lookup for searching reviewers for subsidy applications manually place application information per subsidy round in the Expert Lookup. That takes a lot of time and energy. By automatically placing the application information in the Expert Lookup, funding organisations can save a lot of time. Elsevier Expert Lookup provides format in which it can take the lumsum application information. This code provides missing gap, where the lumsum applications information from funding organisation is converted into the format to upload the lumsum information in Expert Lookup.
rathorat
Config files for my GitHub profile.
ratio-applicant-applications
This code gives ratio of applications and applicant for two subsidie rounds.
reorienting_pandas_table
Reorienting the table to make keywords from multiple rows appear in a single row
repository-name-finder
Extracting data repository name from a text
sankey-diagram-plotly
An Alluvial diagram has been used to relate categories, subcategories of grant applications
scientific-mobility
Following script creates a geographic map of scientific mobility. It shows scientists going from one institute to another institute for a given year.
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
š Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ššš
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ā¤ļø Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
