yashk1103/nomic-matryoshka-financial-embeddings
Financial Domain Adaptation of Nomic Embeddings | Fine-tuned nomic-embed-text-v1.5 with Matryoshka representation learning for financial QA tasks. Features nested embeddings at 256/128/64 dimensions, custom loss functions, Optuna hyperparameter optimization, and comprehensive evaluation achieving 0.835 revenue/sales semantic similarity.
Stars
2
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Dec 20, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/yashk1103/nomic-matryoshka-financial-embeddings"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
dongyuanxin/news-emotion
๐ ้่ๆๆฌๆ ๆๅๆๆจกๅ
pouyaardehkhani/FinancialAnalysis
This notebook provides some skills to perform financial analysis on economical data.
icoxfog417/awesome-financial-nlp
Researches for Natural Language Processing for Financial Domain
clonesRpeople2/financial-risk-analyzer
๐ Analyze financial risk for stocks and portfolios with real data from Yahoo Finance to make...
yash6810/Sentilyze
End-to-end stock sentiment analysis & momentum prediction system using NLP (FinBERT) and...