bambi
best-of-python
| bambi | best-of-python | |
|---|---|---|
| 5 | 5 | |
| 1,013 | 3,409 | |
| 0.9% | 0.9% | |
| 8.0 | 7.8 | |
| 5 days ago | 7 days ago | |
| Python | Python | |
| MIT License | Creative Commons Attribution Share Alike 4.0 |
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.
bambi
-
Bayesian Structural Equation Modeling using blavaan
It is much less challenging with Bambi[1] and brms[2].
[1] https://bambinos.github.io/bambi/ -
Ask HN: What Are You Learning?
I’m trying to learn statistics. I’m up to implementing regressions in python using sci-kit learn.
I was playing around with Bayesian modelling last night with https://bambinos.github.io/bambi/ But I’m not really sure how to interpret the outputs.
Always open to reading about learning resources/books/videos/courses from others.
-
how can I build a regression model which is penalised for moving away from an assumed set of coefficients?
I would suggest using Python's bambi; it is based on PyMC and it is very straightforward to use. We simply define our priors argument as a dictionary (quite literally: my_priors = {"feature_1": bmb.Prior("Normal", mu=4, sigma=4), "feature_n": bmb.Prior("Normal", mu=0.4, sigma=0.4)}) when creating our Bambi Model object and we are ready to go. They have a lot of worked exampling in their website.
-
Which not so well known Python packages do you like to use on a regular basis and why?
For those interested in Bayesian modeling in Python we also have Bambi https://github.com/bambinos/bambi
- Release Bambi 0.6.0 · bambinos/bambi
best-of-python
-
Which not so well known Python packages do you like to use on a regular basis and why?
You may be interested in this best-of-python list on github.
-
I am a proficient Python coder whose learning has plateaued. Any really useful libraries I should look into learning? Taking recommendations.
I suggest looking at this and this github links which group many of the most used/useful python libraries by their category of use.
- ml-tooling/best-of-python A ranked list of awesome Python open-source libraries & tools. Updated weekly.
- Best of Python
-
[P] best-of-ml-python: A ranked list of awesome machine learning Python libraries
best-of-python: General overview of Python libraries & tools
What are some alternatives?
deffcode - A cross-platform High-performance FFmpeg based Real-time Video Frames Decoder in Pure Python 🎞️⚡
pymunk - Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever you need 2d rigid body physics from Python
brms - brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
Box - Python dictionaries with advanced dot notation access
mistletoe - A fast, extensible and spec-compliant Markdown parser in pure Python.
fastapi-featureflags - FastAPI Feature Flags
vimtk - A vim toolkit focused on gvim, IPython, and the terminal.
glom - ☄️ Python's nested data operator (and CLI), for all your declarative restructuring needs. Got data? Glom it! ☄️
pyroute2 - Python Netlink and PF_ROUTE library — network configuration and monitoring
gTTS - Python library and CLI tool to interface with Google Translate's text-to-speech API
static-frame - Immutable and statically-typeable DataFrames with runtime type and data validation
chepy - Chepy is a python lib/cli equivalent of the awesome CyberChef tool.