PyImpetus
machine_learning_basics
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| PyImpetus | machine_learning_basics | |
|---|---|---|
| 1 | 5 | |
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| MIT License | MIT License |
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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.
What are some alternatives?
Financial-Models-Numerical-Methods - Collection of notebooks about quantitative finance, with interactive python code.
100-Days-Of-ML-Code - 100 Days of ML Coding
homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
mango - Parallel Hyperparameter Tuning in Python
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.
rmi - A learned index structure
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.
trulens - Evaluation and Tracking for LLM Experiments
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.
hdbscan - A high performance implementation of HDBSCAN clustering.
Machine-Learning-Specialization-Coursera - Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG