Jon Chun (jon-chun)

jon-chun

Geek Repo

Company:Kenyon College

Location:Gambier, OH

Home Page:https://jonachun.com/

Twitter:@jonchun2000

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Jon Chun's repositories

sentimentarcs_notebooks

SentimentArcs: a large ensemble of dozens of sentiment analysis models to analyze emotion in text over time

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langchain-experiments

Notebooks and code to test langchain

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awesome-dataset-creation

Curated list of resources for creating original datasets for original Data Science, Machine Learning and AI research and projects

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Awesome-explainable-AI

A collection of research materials on explainable AI/ML

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awesome_generative_ai_image

Resources for Generative AI for Images and Art

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ChatGPT-MBTI

Codes for “Can ChatGPT Assess Human Personalities? A General Evaluation Framework”

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container-mlops-template.-

alfredodeza/container-mlops-template.

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datacamp-project-neurips

Kenyon IPHS300 2023spr: Datacamp Hottest Topics in AI

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flan-alpaca

This repository contains code for extending the Stanford Alpaca synthetic instruction tuning to existing instruction-tuned models such as Flan-T5.

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generative_ai_roundtable

A Roundtable on Generative AI for Text and Art (Kenyon College, Jan 2023)

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get_youtube_transcripts

Repo to get transcripts from YouTube channels

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Gramformer

A framework for detecting, highlighting and correcting grammatical errors on natural language text. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

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GraphGPT

Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️‍♂️

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iphs300_2023spr

IPHS300 AI for the Humanites (Spring 2023) Kenyon College

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langchain

⚡ Building applications with LLMs through composability ⚡

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llama.cpp

Port of Facebook's LLaMA model in C/C++

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personalised-movie-reviews-gpt-3

Personalise movie reviews using OpenAI GPT-3

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Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

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SB-PdM-a-tool-for-predictive-maintenance-of-rolling-bearings-based-on-limited-labeled-data

SB-PdM is a non-machine learning code to perform Predictive Maintenance (PdM) of rolling bearings without the need to train a classifier. In SM-PdM, the classification task is performed by applying a similarity measure between test sample and class-reference labeled samples in the feature space.

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sentimentarcs-website

A webified version of SentimentArcs (ported and expanded from original Jupyter Notebooks)

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stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

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test_multi

Test Multiple Git Accounts with VSCode

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the_helix_center_transcripts

The Helix Center Roundtable Transcripts

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Writing-Styles-Classification-Using-Stylometric-Analysis

✍️ An intelligent system that takes a document and classifies different writing styles within the document using stylometric techniques.

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youtube_transcribe_search

Transcript YouTube Videos then use embeddings for search

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