pattern_classification
machine_learning_basics
| pattern_classification | machine_learning_basics | |
|---|---|---|
| 1 | 5 | |
| 4,092 | 4,205 | |
| - | - | |
| 2.7 | 0.0 | |
| 5 months ago | 3 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 only | MIT License |
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pattern_classification
machine_learning_basics
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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?
RACplusplus - A high performance implementation of Reciprocal Agglomerative Clustering in C++
Financial-Models-Numerical-Methods - Collection of notebooks about quantitative finance, with interactive python code.
100-Days-Of-ML-Code - 100 Days of ML Coding
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.
MachineLearningWithPython - Get started with Machine Learning with Python - An introduction with Python programming examples
iterative-grabcut - This algorithm uses a rectangle made by the user to identify the foreground item. Then, the user can edit to add or remove objects to the foreground. Then, it removes the background and makes it transparent.