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machine_learning_basics
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perceptron-asm
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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
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.
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
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.
bfloader - 🧠Brainfuck IDE and interpreter in 512 bytes. (boot sector)
asudo - Sudo command for Windows. Supports both x86 and x86_64 arch.
Time-series-classification-and-clustering-with-Reservoir-Computing - Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.
trulens - Evaluation and Tracking for LLM Experiments
MachineLearningWithPython - Get started with Machine Learning with Python - An introduction with Python programming examples