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Brigham Young University
- Provo, Utah
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12:05
(UTC -06:00) - https://www.linkedin.com/in/ringger/
Stars
Project instructions and starter code
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Companion code for the global workspace interpretability paper
Agent memory and personality - save tokens, keep track of conversation stack, and make engineering fun again, all at the same time!
Fine-tuning NLLB-200 for Mapudungun–Spanish MT: a tokenization study for a polysynthetic low-resource language. AmericasNLP 2026.
Source code for Jordan Boyd-Graber's academic webpage.
Contains project starter folders and other handouts for students in UMD cmsc 398z
Multi-source transcript merging inspired by textual criticism — LLM adjudicates multiple Whisper, YouTube captions & external transcripts for higher quality. Includes speaker diarization and summar…
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
This compendium reviews significant published research contributions and industrial engineering practices in leveraging Generative AI and LLMs for developing search, recommender, personalization, a…
The AI that really does things. Any OS. Any Platform. The lobster way. 🦞
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…
Cross-platform, customizable ML solutions for live and streaming media.
Content for BYU CS 240: Advanced Software Construction
The official Python library for the OpenAI API
Examples and guides for using the OpenAI API
Easily fine-tune, evaluate and deploy Qwen, Gemma, or any open weight LLM!
Repair malformed JSON from LLMs, APIs, logs, and user input in Python.
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A web application for exploring documents topically.