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Vishal Belsare's Projects

papers-to-read icon papers-to-read

:balloon: Papers to Read (summary, explanation, and implementation)

papers-we-love icon papers-we-love

Papers from the computer science community to read and discuss.

paperwork icon paperwork

Paperwork - OpenSource note-taking & archiving alternative to Evernote, Microsoft OneNote & Google Keep

param icon param

Param: Make your Python code clearer and more reliable by declaring Parameters

parametricmodeling icon parametricmodeling

An Sklearn interface around scipy.optimize.least_squares for non-linear and linear parametric modeling

parametricumap_paper icon parametricumap_paper

Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).

parsel icon parsel

Parsel lets you extract data from XML/HTML documents using XPath or CSS selectors

parsemis icon parsemis

The ParSeMiS project (Parallel and Sequential Graph Mining Suite) searches for frequent, interesting substructures in graph databases. https://www2.cs.fau.de/EN/research/zold/ParSeMiS/index.html

partools icon partools

Tools to aid coding in the R 'parallel' package.

party icon party

Party model from NetLogo rewritten in python just for kicks.

passage icon passage

A little library for text analysis with RNNs.

pathos icon pathos

parallel graph management and execution in heterogeneous computing

pathpy icon pathpy

pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models

pathpy-1 icon pathpy-1

An OpenSource python package for the analysis of time series data on networks using higher-order and multi-order graphical models.

patsy icon patsy

Describing statistical models in Python using symbolic formulas

pattern icon pattern

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

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