ml-from-scratch

Here are 21 public repositories matching this topic...

ShivamShrirao / dnn_from_scratch

A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

python machine-learning library deep-neural-networks computer-vision deep-learning neural-network numpy keras cnn generative-adversarial-network gan mnist convolutional-neural-networks cifar cnn-from-scratch backpropagate ml-from-scratch optimizers

Updated Jun 19, 2021
Python

hrshtv / ML-From-Scratch

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Some Machine Learning algorithms implemented by me, mostly from scratch

machine-learning machine-learning-algorithms machine-learning-from-scratch ml-from-scratch

Updated Jul 15, 2022
Jupyter Notebook

MLEndeavours / Source-Code

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The accompanying repository for all the source code of articles from the ML Endeavours blog. ML Endeavours is a blog dedicated to Machine Learning, a subset of Artificial Intelligence (AI).

blog machine-learning machine-learning-algorithms ml-endeavours ml-from-scratch

Updated Aug 5, 2018
Jupyter Notebook

ap-atul / Chronic-Kidney-Disease

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Classification of Kidney disease using Sklearn and Custom ML Algorithms

machine-learning-algorithms classification-algorithm chronic-kidney-disease ml-from-scratch

Updated Oct 29, 2020
Python

tom-boyle / ML-Algorithms

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A collection of machine learning algorithms in Python, including supervised, unsupervised, reinforcement learning, and deep learning, with Jupyter notebooks.

python open-source data-science reinforcement-learning deep-learning machine-learning-algorithms jupyter-notebook artificial-intelligence supervised-learning unsupervised-learning ai-research ml-from-scratch

Updated Mar 16, 2025
Jupyter Notebook

ammarlodhi255 / ML_spelled_out

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Collection of notebooks and python code of various machine learning algorithms from scratch.

machine-learning-algorithms supervised-learning unsupervised-learning scratch-implementation ml-from-scratch

Updated Feb 20, 2024
Jupyter Notebook

nonkloq / ml-from-scratch

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Machine Learning Algortihms from scratch.

random-forest linear-regression naive-bayes-classifier gaussian-mixture-models decision-trees unsupervised-learning expectation-maximization-algorithm kmeans-clustering multilayer-perceptron ml-from-scratch linear-classification candidate-elimination-algorithm

Updated Dec 26, 2023
Jupyter Notebook

geraked / machine-learning

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Implementation of Machine Learning Algorithms From Scratch

computer-science data-science machine-learning ai clustering machine-learning-algorithms ml regression artificial-intelligence computer-engineering classification outlier-detection amirkabir-university machine-learning-from-scratch ml-from-scratch geraked rabist ce5501

Updated Apr 25, 2023
Jupyter Notebook

FaNa-AI / Linear-Regression

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Predicts house prices using linear regression built from scratch with NumPy and gradient descent. Great for learning core ML concepts.

linear-regression gradient-descent python-machine-learning house-price-prediction ml-from-scratch mse-loss

Updated Jun 7, 2025

Followb1ind1y / Machine-Learning-Algorithms-from-Scratch

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Machine Learning Algorithms from scratch. 经典机器学习算法的从头实现

python machine-learning machine-learning-algorithms ml-from-scratch

Updated Feb 3, 2023
Jupyter Notebook

Espacio-root / ml-from-scratch

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Common machine learning algorithms from scratch in python

data-science machine-learning neural-network random-forest linear-regression gradient-descent adaboost decision-trees backpropagation data-augmentation ml-from-scratch

Updated Nov 5, 2023
Python

paulinamoskwa / from-scratch

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Collection of implementations from scratch (mostly ML)

python machine-learning ai machine-learning-algorithms ml pytorch transformer attention from-scratch machine-learning-from-scratch ml-from-scratch pytorch-implementation implementation-from-scratch ml-papers transformer-from-scratch from-scratch-in-python

Updated Jan 22, 2024
Jupyter Notebook

strgj25 / song-popularity-regression

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В этом проекте разработана модель регрессии для предсказания популярности песни на основе характеристик, полученных из Spotify API. Модель написана с нуля, без использования фреймворков. Проект демонстрирует понимание базовых принципов работы и обучения традиционных ml-алгоритмов.

regression demo-project ml-from-scratch song-popularity-prediction