Forecasting_Mutual_Funds
⚡ This Project gives you an overall idea for Forecasting Mutual Funds (by NayakwadiS)
xplainable
Real-time explainable machine learning for business optimisation (by xplainable)
| Forecasting_Mutual_Funds | xplainable | |
|---|---|---|
| 1 | 2 | |
| 43 | 52 | |
| - | - | |
| 4.6 | 9.0 | |
| 9 months ago | 14 days ago | |
| Python | Python | |
| MIT License | GNU Affero General Public License v3.0 |
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.
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.
Forecasting_Mutual_Funds
Posts with mentions or reviews of Forecasting_Mutual_Funds.
We have used some of these posts to build our list of alternatives
and similar projects.
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Any alternatives to Quandl AMFI NAV API?
While reading that tool, I came across this - https://github.com/NayakwadiS/Forecasting_Mutual_Funds The forecast is for 30 days and may be an interesting diversion for some folks.
xplainable
Posts with mentions or reviews of xplainable.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Explainable (Structured) Machine Learning Algorithm
Just for some respite from the discussion of our soon-to-be AI overlords (LLMs), I'm one of the contributors to an open-source Python package, Xplainable (https://github.com/xplainable/xplainable). Xplainable is a novel (structured) machine learning algorithm that's inherently explainable, as opposed to being a post-hoc explainer (like SHAP or Lime).
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Tools for documenting OS Python Package
I'm looking at migrating the docs for our open-source Python package https://github.com/xplainable/xplainable from sphinx to something else. I was initially looking at either docosaurus or Mintlify. Mintlify looks substantially easier to setup but I'm questioning the extensibility (also the cost).
What are some alternatives?
When comparing Forecasting_Mutual_Funds and xplainable you can also consider the following projects:
neural_prophet - NeuralProphet: A simple forecasting package
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.