simplebendingpractice
machine_learning_basics
| simplebendingpractice | machine_learning_basics | |
|---|---|---|
| 2 | 5 | |
| 23 | 4,205 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | 3 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Creative Commons Attribution 4.0 | 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.
simplebendingpractice
- Python scripts for beam analysis? (UDL on simply supported beam with overhangs at each end)
-
What improvements in technology and software would you like to see in Civil Engineering?
If it helps with understanding, the code is based on this module which involves a lot less lines of python (although it does involve a bunch of decorators, which i was not comfortable with using).
machine_learning_basics
-
Bayesian linear regression in (plain) Python
A while back I open sourced a repository implementing fundamental machine learning algorithms in Python, along with the most important theoretical information. I originally created the repository for myself when preparing for AI residency interviews. You can find the original Reddit post here.
- Bayesian linear regression in Python
What are some alternatives?
Food-Recipe-CNN - food image to recipe with deep convolutional neural networks.
Financial-Models-Numerical-Methods - Collection of notebooks about quantitative finance, with interactive python code.
awesome-python-projects - 📱 ✅ Some awesome projects in python! 📱 ✅
100-Days-Of-ML-Code - 100 Days of ML Coding
IndeterminateBeam - A solver for 1D indeterminate beams
borb-google-colab-examples - This repository contains some examples of using borb in google colab. These examples enable you to try out the features of borb without installing it on your system. They also ensure the system requirements and imports are all taken care of.
mango - Parallel Hyperparameter Tuning in Python
trulens - Evaluation and Tracking for LLM Experiments
rmi - A learned index structure
PyImpetus - PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features
Time-series-classification-and-clustering-with-Reservoir-Computing - Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.
perceptron-asm - A single-layer perceptron in x86 assembly to distinguish between circles and rectangles.