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Personal Repo and project display.

Project is to be launched start of January to public. Posts will be re-published every 2 weeks on linkedin to gain following.

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'*' is a to-do item.

Homepage

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Completed Future Posts

Prospective Posts

  • K-nearest neighbors.
  • Principle Component Analysis
  • Naive Bayes
  • Support Vector Machines
  • Generalized Least Squares (Regression for skeweness correction)
Regular Updates Locations for Posts
  • Post
  • 404 Random Script
  • CV Portfolio
  • Manual Archive
  • Beta

Tyki Wada's Projects

big-data icon big-data

:wrench: Use dplyr to analyze Big Data :elephant:

cv icon cv

Main Personal Page

gpu_cluster icon gpu_cluster

Just needed a blog page to list info. Using Hydejack as a template

llm_implementations icon llm_implementations

I guess I'm just going to follow the fad and dive into these LLMs. Exploring novel applications built upon existing open source models.

mapo-tofu icon mapo-tofu

Mapo-Tofu Blog being built on a Jekyll Template - Mediumish

mised icon mised

MISeD (Meeting Information Seeking Dialogs dataset) is an information-seeking dialog dataset focused on meeting transcripts. It includes 432 dialogs over transcripts from the QMSum dataset. MISeD is described in detail in the paper: Efficient Data Generation for Source-grounded Information-seeking Dialogs: A Use Case for Meeting Transcripts.

nif-vr icon nif-vr

LLNL Plasma Deep Learning Comparison

plumber_use icon plumber_use

Experimenting with the Plumber API created by Trestle Technology, LLC 2017 for R

projectpage icon projectpage

Just an unorganized repository listing my coding files and reports created. R projects are posted on my site:

s2ml-generators icon s2ml-generators

Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content

telco-churn-clv icon telco-churn-clv

Comparing various methods to predict Customer Churn and Lifetime Value on Telco's Dataset

vgg16_ae icon vgg16_ae

Autoencoder Created from VGG16 using pre-trained imagenet weights.

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