jon-chun
Successful Silicon Valley entrepreneur and Fortune 500 dev director now applying best practices from AI, ML and Data Science to interdisciplinary DH research.
Kenyon CollegeGambier, OH
Pinned Repositories
cultural-analytics
Computational Cultural Analytics
cultural-analytics-networks
Kenyon IPHS Cultural Analytics - Network Analysis
cultural-analytics.github.io
Computational Cultural Analytics Course at Kenyon College
iiot-time-series-prediction-system
An End-to-End Industrial IoT Time Series Prediction System
langchain-experiments
Notebooks and code to test langchain
llms-theory-and-practice-denison-university
Denison University CS and Math Department Talk on the Theory, Practice and Future Directions of Large Language Models
network-notebooks
sentiment-analysis-reference-corpus-novels
Reference Corpus of Novels for Sentiment Analysis
sentimentarcs_notebooks
SentimentArcs: a large ensemble of dozens of sentiment analysis models to analyze emotion in text over time
jon-chun's Repositories
jon-chun/sentimentarcs_notebooks
SentimentArcs: a large ensemble of dozens of sentiment analysis models to analyze emotion in text over time
jon-chun/langchain-experiments
Notebooks and code to test langchain
jon-chun/sentimentarcs-website
A webified version of SentimentArcs (ported and expanded from original Jupyter Notebooks)
jon-chun/agi-is-awesome
jon-chun/Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
jon-chun/awesome-dataset-creation
Curated list of resources for creating original datasets for original Data Science, Machine Learning and AI research and projects
jon-chun/Awesome-explainable-AI
A collection of research materials on explainable AI/ML
jon-chun/awesome_generative_ai_image
Resources for Generative AI for Images and Art
jon-chun/chat-your-data
jon-chun/ChatGPT-MBTI
Codes for “Can ChatGPT Assess Human Personalities? A General Evaluation Framework”
jon-chun/container-mlops-template.-
alfredodeza/container-mlops-template.
jon-chun/datacamp-project-neurips
Kenyon IPHS300 2023spr: Datacamp Hottest Topics in AI
jon-chun/document-analysis-using-gpt-3
jon-chun/flan-alpaca
This repository contains code for extending the Stanford Alpaca synthetic instruction tuning to existing instruction-tuned models such as Flan-T5.
jon-chun/generative_ai_roundtable
A Roundtable on Generative AI for Text and Art (Kenyon College, Jan 2023)
jon-chun/get_youtube_transcripts
Repo to get transcripts from YouTube channels
jon-chun/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.
jon-chun/GraphGPT
Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️♂️
jon-chun/iphs300_2023spr
IPHS300 AI for the Humanites (Spring 2023) Kenyon College
jon-chun/langchain
⚡ Building applications with LLMs through composability ⚡
jon-chun/llama.cpp
Port of Facebook's LLaMA model in C/C++
jon-chun/personalised-movie-reviews-gpt-3
Personalise movie reviews using OpenAI GPT-3
jon-chun/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
jon-chun/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.
jon-chun/scrape-webpage-data
jon-chun/self-instruct
Aligning pretrained language models with instruction data generated by themselves.
jon-chun/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
jon-chun/test_multi
Test Multiple Git Accounts with VSCode
jon-chun/the_helix_center_transcripts
The Helix Center Roundtable Transcripts
jon-chun/Writing-Styles-Classification-Using-Stylometric-Analysis
✍️ An intelligent system that takes a document and classifies different writing styles within the document using stylometric techniques.