oneHuster/Meta-Learning-Papers

A classified list of meta learning papers based on realm.

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TannerGilbert/Machine-Learning-Explained

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

Language: Python - Size: 19.1 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 55 - Forks: 21

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).

Language: Python - Size: 3.54 MB - Last synced at: about 8 hours ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0

gzz2000/ultimate-common-representation

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

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karen/understanding-ml

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

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AlgoMathITMO/Strat-mETA

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wmg9721204/My-Notes

Notes prepared for seminars, compiled from books, or taken in classes are included in this repository. There might be some notes prepared by other seminar participants, which are labelled accordingly.

Language: Jupyter Notebook - Size: 280 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 2

RaphelWei/ml-theory-roadmap

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

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Zer0-Bug/ML_GradientDescent-.-FindThetaValues

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

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

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

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nAuTahn/Machine-Learning-theory

Towards understanding Machine Learning theory in 69 days :)

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SherazKhaaan/MLWK11_MindMap

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SherazKhaaan/MLWK1_MindMap

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SherazKhaaan/MLWK2_MindMap

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Michu-dev/ai-university-labs

AI labs - solutions

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

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

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vineetjohn/machine-learning-algorithms

Machine Learning Algorithms from scratch

Language: TeX - Size: 1.35 MB - Last synced at: over 2 years ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 1

jasonlovescoding/Coursera-MachineLearning

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

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