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machine-learning-theory

Here are 21 public repositories matching this topic...

jensen888 / Meta-Learning-Papers

A classified list of meta learning papers based on realm.

deep-learning machine-learning-algorithms statistical machine-learning-theory meta-learning

Updated Sep 29, 2022

TannerGilbert / Machine-Learning-Explained

Learn the theory, math and code behind different machine learning algorithms and techniques.

machine-learning math machine-learning-algorithms machine-learning-theory

Updated Jul 8, 2022
Python

yanliang3612 / ReVar

[NeurIPS 2023] The official implementation of "Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition" .

fairness machine-learning-theory gnn

Updated Apr 28, 2025
Python

gzz2000 / ultimate-common-representation

ML course project: investigation on common perceptions of same neural network model with different random seed

machine-learning pytorch machine-learning-theory

Updated May 31, 2020
Python

Zer0-Bug / ML_GradientDescent-.-FindThetaValues

Implementation is to use gradient descent to find the optimal values of θ that minimize the cost function.

python data-science machine-learning optimization supervised-learning logistic-regression regularization gradient-descent predictive-modeling theta machine-learning-theory statistical-modeling cost-function mathematical-modeling

Updated Mar 1, 2025
Python

AlgoMathITMO / Strat-mETA

deep-learning dataset genetic-programming evolutionary-algorithms machine-learning-theory

Updated Sep 20, 2022
Jupyter Notebook

farukalpay / information-bottleneck-beta-optimization

This repository hosts a progressive series of implementations (Code_v1, Code_v2, and beyond) for deterministic β*-optimization in the Information Bottleneck framework. Includes symbolic fusion, multi-path inference, and Alpay Algebra–driven critical point validation (β* = 4.14144).

statistical-inference mutual-information machine-learning-theory phase-transition information-bottleneck symbolic-algebra alpay-algebra beta-optimization deep-theory ib-framework

Updated May 15, 2025
Python

karen / understanding-ml

📓 Chapter summaries adapted from the textbook "Understanding Machine Learning"

machine-learning notes artificial-intelligence machine-learning-theory

Updated Jan 7, 2018
Jupyter Notebook

RaphelWei / ml-theory-roadmap

A growing list of papers, books, courses and blogs related to machine learning theory and optimization

machine-learning optimization online-learning machine-learning-theory awesome-lists

Updated Aug 30, 2025
Shell

SHMAUS-Carter / ECE-IECT

Emergent Computational Epistemology: studying AI’s emergent behaviors as non-human epistemic systems.

cybernetics coherence ece epistemology machine-learning-theory interpretability emergence ai-evaluation ai-philosophy non-human-epistemes

Updated Sep 4, 2025
Python

Temistar / 30-days-of-ML-and-DL

My personal projects of re-learning machine learning and deep learning algorithms

python machine-learning computer-vision sklearn machine-learning-algorithms regression datascience classification machine-learning-theory machinelearning-python python-projects

Updated Jul 15, 2022
Jupyter Notebook

nAuTahn / Machine-Learning-theory

Towards understanding Machine Learning theory in 69 days :)

machine-learning-theory machine-learning-papers machine-learning-applications

Updated Apr 22, 2025

Michu-dev / ai-university-labs

AI labs - solutions

nlp machine-learning big-data reinforcement-learning computer-vision robotics biomedical-informatics machine-learning-theory multidimensional-data

Updated Jun 1, 2024
Jupyter Notebook

SherazKhaaan / MLWK1_MindMap

week1 machine-learning-theory learning-from-data

Updated Mar 1, 2025
HTML

lezippo / decisionTreeClassifier

Implementation of a simple Decision Tree Classifier, entirely made in Swift

decision-tree decision-tree-classifier machine-learning-theory

Updated Apr 4, 2024
Swift

SherazKhaaan / MLWK2_MindMap

statistical-inference week2 machine-learning-theory

Updated Mar 1, 2025
HTML

aminfadaei116 / implicit-regularization-in-relu-networks-paper-code

Reproducing the results in "Implicit Regularization in ReLU Networks with the Square Loss" using Matlab

implicit-bias machine-learning-theory relu

Updated Jan 31, 2022
MATLAB

jasonlovescoding / Coursera-MachineLearning

The homework assignments of 'Machine Learning' from Stanford University in Coursera

matlab coursera course-project machine-learning-theory

Updated Feb 17, 2017
MATLAB

SherazKhaaan / MLWK3_MindMap

week3 machine-learning-theory linear-and-additive-models

Updated Mar 1, 2025
HTML

vineetjohn / machine-learning-algorithms

Machine Learning Algorithms from scratch

machine-learning machine-learning-algorithms machine-learning-theory

Updated Apr 17, 2017
TeX

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