morganstanley/MSML
Repo for Morgan Stanley Machine Learning Research group's publications
This repository provides code from advanced machine learning research papers published by Morgan Stanley's Machine Learning Research team. It offers implementations for cutting-edge techniques in areas like time series analysis, recommender systems, and natural language processing tailored for financial applications. The resources are intended for machine learning researchers, quantitative analysts, and data scientists looking to apply sophisticated models to complex financial or scientific data problems.
116 stars.
Use this if you are a machine learning researcher or quantitative analyst who needs to implement advanced algorithms published by a leading financial institution for tasks like forecasting, risk modeling, or large language model fine-tuning.
Not ideal if you are looking for ready-to-use, off-the-shelf software solutions for common business problems without diving into academic research code.
Stars
116
Forks
21
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Dec 26, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/generative-ai/morganstanley/MSML"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
jupyterlab/jupyter-ai
A generative AI extension for JupyterLab
aws-samples/generative-ai-ml-latam-samples
This repo provides Generative AI and AI/ML code samples, blueprints (end-to-end solutions) and...
dkanungo/Probabilistic-ML-for-finance-and-investing
Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python
Yash-Kavaiya/GenAI-Learning
Up-to-Date Content: We regularly update our repository with new courses, articles, and tutorials...
bozdogalex/bioinf-y4-lab
Laboratoare licență anul IV — Bioinformatica și Genomică Funcțională, cu focus pe ML, rețele și GenAI.