FinGPT VS fin-ml

Compare FinGPT vs fin-ml and see what are their differences.

FinGPT

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace. (by AI4Finance-Foundation)

fin-ml

This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star. (by tatsath)
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FinGPT fin-ml
11 53
11,650 711
3.9% -
9.5 0.0
24 days ago over 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

FinGPT

Posts with mentions or reviews of FinGPT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-24.

fin-ml

Posts with mentions or reviews of fin-ml. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing FinGPT and fin-ml you can also consider the following projects:

modelscope - ModelScope: bring the notion of Model-as-a-Service to life.

TradeMaster - TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:

EasyCV - An all-in-one toolkit for computer vision

Finding-Alpha-with-AI - A 3 part series of Jupyter notebooks to help one find alpha in the stock market with AI

keep - The open-source alert management and AIOps platform

alphalens - Performance analysis of predictive (alpha) stock factors

prompt-engineering - Tips and tricks for working with Large Language Models like OpenAI's GPT-4.

qlib - Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

StanfordQuadruped

PyPortfolioOpt - Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

alpaca_eval - An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

FinRL - FinRL: Financial Reinforcement Learning. 🔥