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Vishal Belsare's Projects

keyman icon keyman

A gnome shell extension to access the keyring in a convenient way

kge-1 icon kge-1

LibKGE - A knowledge graph embedding library for reproducible research

kgegrok icon kgegrok

An efficient KGE learning framework

kgekit icon kgekit

Knowledge Embedding learning data processing and sampling

kgemb icon kgemb

Hyperbolic Knowledge Graph embeddings.

kglab icon kglab

Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython, pyarrow, etc.

kglib icon kglib

Grakn Knowledge Graph Library (ML R&D)

kgraph icon kgraph

A Python library for Graph Embedding on knowledge graphs

kgtk icon kgtk

Knowledge Graph Toolkit

kgtool icon kgtool

python kg tools with minimal package dependency

khcoder icon khcoder

KH Coder: for Quantitative Content Analysis or Text Mining

khiva icon khiva

An open-source library of algorithms to analyse time series in GPU and CPU.

kigb icon kigb

Knowledge-intensive Gradient Boosting: A unified framework for learning gradient boosted decision trees for regression and classification tasks while leveraging human advice for achieving better performance.

kilt icon kilt

Library for Knowledge Intensive Language Tasks

kimios icon kimios

Open Source Document Management

kivy icon kivy

Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS

klepto icon klepto

persistent caching to memory, disk, or database

kmeans-and-kernel-kmeans icon kmeans-and-kernel-kmeans

####Goals#### * Implement the following clustering algorithms: K-means and Kernel K-means. * Implement the following supervised clustering evaluation metrics: purity and NMI.

kmr icon kmr

Kernel multitask regression

knnregression icon knnregression

In this project we will be solving KNN Regression problem from scratch. We will be implementing the KNN problem in the naive method using a for loop and also in a vectorised approach using numpy broadcasting. We will also plot the root mean squared error for various K values and chose the optimal number of nearest neighbours.

knotter icon knotter

Implementation of Mapper algorithm for Topological Data Analysis

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