mljar-supervised
OpenBBTerminal
Our great sponsors
mljar-supervised | OpenBBTerminal | |
---|---|---|
51 | 211 | |
2,927 | 25,967 | |
1.1% | 1.1% | |
8.5 | 9.8 | |
2 days ago | 6 days ago | |
Python | Python | |
MIT License | MIT License |
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.
mljar-supervised
-
Show HN: Web App with GUI for AutoML on Tabular Data
Web App is using two open-source packages that I've created:
- MLJAR AutoML - Python package for AutoML on tabular data https://github.com/mljar/mljar-supervised
- Mercury - framework for converting Jupyter Notebooks into Web App https://github.com/mljar/mercury
You can run Web App locally. What is more, you can adjust notebook's code for your needs. For example, you can set different validation strategies or evalutaion metrics or longer training times. The notebooks in the repo are good starting point for you to develop more advanced apps.
-
Fairness in machine learning
It's an Automated Machine Learning python package. It's open-source, you can see how it works on GitHub: https://github.com/mljar/mljar-supervised
-
[P] Build data web apps in Jupyter Notebook with Python only
Sure, at the bottom of our website you can subscribe for newsletter.
- Show HN: AutoML Python Package for Tabular Data with Automatic Documentation
-
library / framework to test multiple sklearn regression models at once
If you need a simple and fast solution, go with auto-sklearn Maybe a bit more complex, but very powerful was mljar-supervised
-
Learning Python tricks by reading other people's code. But who?
MLJAR AutoML is a Python package for Automated Machine Learning on tabular data with feature engineering, explanations, and automatic documentation.
-
'start with a simple model'
I recommend trying my AutoML package. You can easily check many different algorithms. Waht is more, the baseline algorithms are checked (major class predictor for classification and mean predictor for regression). The advance of AutoML is that it is really quick. You dont need to write preprocessing code, just call fit method.
-
I'm Looking to Help Contribute, I am very confident with my skills
Automated Machine Learning (AutoML) Python package https://github.com/mljar/mljar-supervised You can check list of open issues. Or I can recommend some just tell me your preferences (Im the main contributor)
-
[D] Bring your own data AI SaaS service for non-programmers?
Instead, we started to work on desktop application that will allow to create python notebooks with no-code GUI (https://github.com/mljar/studio some screenshots on our website ).
OpenBBTerminal
-
What is the funnest project you worked on?
I think I am a little bit of an odd one out but since I have a strong background in Finance and a passion for programming in Python being able to combine that in projects like [OpenBB Terminal](https://github.com/OpenBB-finance/OpenBBTerminal) and my own [FinanceDatabase](https://github.com/JerBouma/FinanceDatabase) is just amazing.
-
I made a Finance Database with over 300.000 tickers to make Investment Decisions easier
That's where you have APIs FundamentalAnalysis, yfinance and OpenBB for that connect very well with my database.
-
Can’t afford Bloomberg Terminal? No prob, I built the next best thing
I don't get this.
We literally came out and apologize.
https://github.com/OpenBB-finance/OpenBBTerminal/issues/1625 - this provides my initial train of thought. But the "Welcome to our newsletter" was never the email intended to be sent.
In any case, it was a shitty idea regardless. We apologized for it, but there's nothing we can do now to make up for it.
-
Stocks command won't load anything
In any case, I have openend up a Pull Request that will fix this issue but if the above links do not work for you, you are blocked from using functionality like `stocks/search`.
there is a open bug ticket https://github.com/OpenBB-finance/OpenBBTerminal/issues/3695
-
Yield curve (ycrv)
Hi! I have openend up an issue here, this is indeed not working correctly. We moved away from the source Investing.com which this functionality partly relied on. Stay tuned for a fix soon.
There currently is a PR open that fixes this. Expect the functionality to work in the next release which should be released soon. If you are using the Python version, you should be able to pull the changes in even sooner.
-
python for stock research
OpenBB Terminal is aimed at making it easy to do good financial research, and is Python based so is a good example of a project you can read and learn from the source code of, and contribute to as you upskill in Python. For learning how to use the terminal you likely want to start with its documentation, which walks you through installation and the available features (with links to extra information and explanations for the things you want to learn more about).
- Just came across a thread on how to use an open source Bloomberg terminal. Thought it might interest some apes who ca’t afford the 24k terminal
What are some alternatives?
Alpaca-API - The Alpaca API is a developer interface for trading operations and market data reception through the Alpaca platform.
fear-greed-index - Python CNN Fear and Greed Index wrapper
optuna - A hyperparameter optimization framework
autokeras - AutoML library for deep learning
jupyterlab_templates - Support for jupyter notebook templates in jupyterlab
LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
gme-terminal - GME and other stocks investor holdings
IMPORTJSONAPI - Use JSONPath to selectively extract data from any JSON or GraphQL API directly into Google Sheets.
tl - The compiler for Teal, a typed dialect of Lua
rockstar - The Rockstar programming language specification
RapidFuzz - Rapid fuzzy string matching in Python using various string metrics