Movatterモバイル変換

Skip to content

#

machine-learning-theory

Here are 22 public repositories matching this topic...

Language:All

Filter by language

All22 Python6 Jupyter Notebook5 HTML4 MATLAB2 Shell1 Swift1 TeX1

Sort:Most stars

Sort options

Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

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

UpdatedSep 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

UpdatedJul 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

UpdatedOct 25, 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

UpdatedMay 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

UpdatedMar 1, 2025
Python

AlgoMathITMO /Strat-mETA

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

UpdatedSep 20, 2022
Jupyter Notebook

karen /understanding-ml

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

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

UpdatedJan 7, 2018
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

UpdatedMay 15, 2025
Python

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

UpdatedAug 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

UpdatedSep 4, 2025
Python

andleb /DistributionalAutoencodersScore

Official code repository for Distributional Autoencoders Know the Score, NeurIPS 2025

machine-learning molecular-dynamics computational-chemistry autoencoder unsupervised-learning manifold-learning machine-learning-theory distributional score-matching score-based-generative-modeling neurips-2025

UpdatedOct 25, 2025
Jupyter Notebook

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

UpdatedOct 28, 2025
Jupyter Notebook

nAuTahn /Machine-Learning-theory

Towards understanding Machine Learning theory in 69 days :)

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

UpdatedApr 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

UpdatedJun 1, 2024
Jupyter Notebook

jasonlovescoding /Coursera-MachineLearning

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

matlab coursera course-project machine-learning-theory

UpdatedFeb 17, 2017
MATLAB

SherazKhaaan /MLWK1_MindMap

week1 machine-learning-theory learning-from-data

UpdatedMar 1, 2025
HTML

SherazKhaaan /MLWK2_MindMap

statistical-inference week2 machine-learning-theory

UpdatedMar 1, 2025
HTML

lezippo /decisionTreeClassifier

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

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

UpdatedApr 4, 2024
Swift

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

UpdatedJan 31, 2022
MATLAB

SherazKhaaan /MLWK3_MindMap

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

UpdatedMar 1, 2025
HTML

Improve this page

Add a description, image, and links to themachine-learning-theory topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with themachine-learning-theory topic, visit your repo's landing page and select "manage topics."

[8]ページ先頭

©2009-2025 Movatter.jp