Soma S Dhavala (dhavala)

dhavala

Geek Repo

Company:mlsquare

Location:Bangalore

Home Page:dhavala.github.io

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Soma S Dhavala's repositories

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pesu-ai-2019

class demos on AI problems

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aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

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archive

archive of documents, reports, and preprints

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cardinal

turn kanban cards into computational dags

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CroftEd

a hover croft that responds to commands via REST APIS

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cypher-for-apache-spark

Cypher for Apache Spark brings the leading graph query language, Cypher, onto the leading distributed processing platform, Spark.

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dagger

a DSL forcomputational DAGs

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kan-gpt

The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling

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linear-diffusion

A minimal Diffusion Model build using only linear components

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MBDS2018-NLPTutorial

NLP Tutorial @Midwest Big Data Summer school 2018

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mqr

Multiple-Output Quantile Regression

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nbdev-hello-world

experiment with nbdev for a book format

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nlq2fql

Translate Natural Language/JSON to a Formal Query Language

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oreilly-latex-template

O'Reilly Latex Template by Joan Queralt translated to english from https://tex.stackexchange.com/questions/107862/oreilly-template

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plant_modeling

UW SEFS508 - Plant Process and Systems Modeling

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practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

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pyswarm

Particle swarm optimization (PSO) that supports constraints

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r4ds

R for data science: a book

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stroke-width-transform

Python implementation of and experiments with the Stroke Width Transformation and connected components filtering.

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tabnet

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

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text-detection

Text detection with mainly MSER and SWT

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wemake-python-package

Bleeding edge cookiecutter template to create new python packages

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