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Avik-Jain /100-Days-Of-ML-Code

Star49.7k

100 Days of ML Coding

python machine-learning tutorial deep-learning svm linear-regression scikit-learn linear-algebra machine-learning-algorithms naive-bayes-classifier logistic-regression implementation support-vector-machines 100-days-of-code-log 100daysofcode infographics siraj-raval siraj-raval-challenge

UpdatedDec 29, 2023

liuruoze /EasyPR

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(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design

opencv machine-learning computer-vision artificial-intelligence supervised-learning artificial-neural-networks chinese-characters datasets support-vector-machines plate-recognition opencv3 unconstrained-situation

UpdatedJun 4, 2024
C++

accord-net /framework

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Machine learning, computer vision, statistics and general scientific computing for .NET

c-sharp machine-learning visual-studio framework statistics computer-vision ffmpeg neural-network nuget unity3d image-processing support-vector-machines

UpdatedNov 18, 2020
C#

kk7nc /Text_Classification

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Text Classification Algorithms: A Survey

deep-learning random-forest text-classification recurrent-neural-networks naive-bayes-classifier dimensionality-reduction logistic-regression document-classification convolutional-neural-networks text-processing decision-trees boosting-algorithms support-vector-machines hierarchical-attention-networks nlp-machine-learning conditional-random-fields k-nearest-neighbours deep-belief-network rocchio-algorithm deep-neural-network

UpdatedApr 1, 2025
Python

nsoojin /coursera-ml-py

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Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

neural-network logistic-regression support-vector-machines coursera-machine-learning principal-component-analysis numpy-exercises anomaly-detection machine-learning-ex1 andrew-ng-course python-ml andrew-ng-machine-learning andrew-ng-ml-course

UpdatedSep 2, 2020
Python

mikeroyal /Machine-Learning-Guide

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Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.

python deep-learning scikit-learn image-processing pytorch image-classification artificial-neural-networks machine-learning-library machinelearning support-vector-machines scikitlearn-machine-learning machine-learning-models jax machinelearning-python aws-sagemaker gpt-3 gpt-4 llms generative-ai gpt4all

UpdatedJan 4, 2024
Python

jmartinezheras /2018-MachineLearning-Lectures-ESA

Star371

Machine Learning Lectures at the European Space Agency (ESA) in 2018

machine-learning text-mining lectures deep-learning neural-network random-forest clustering linear-regression pca topic-modeling machinelearning tf-idf decision-trees support-vector-machines lecture-videos lecture-material lecture-slides anomaly-detection

UpdatedSep 18, 2023
Jupyter Notebook

fukuball /fuku-ml

Star283

Simple machine learning library / 簡單易用的機器學習套件

machine-learning neural-network svm linear-regression regression classification logistic-regression perceptron decision-trees support-vector-machines

UpdatedAug 7, 2025
Python

gionanide /Speech_Signal_Processing_and_Classification

Star258

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can…