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10 search results found

Tensorflow_cookbook ⭐ 6,085

Code for Tensorflow Machine Learning Cookbook

Covid19 Literature Clustering ⭐ 63

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

The Deep Learning With Keras Workshop ⭐ 40

An Interactive Approach to Understanding Deep Learning with Keras

Machinelearningseries ⭐ 28

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

Stock Market Analysis ⭐ 27

Exploratory analysis, visualization of stock market data along with predictions made on it using different techniques.

Machine Learning Using Python ⭐ 15

Regression, Classification and Clustering

Opssat Smartcam ⭐ 15

On November 8, 2020, this project achieved the first use of deep convolutional neural networks (CNN) on-board a spacecraft.

Machine Learning From Scratch ⭐ 12

🤖 Python implementations of some of the fundamental Machine Learning models and algorithms from scratch with interactive Jupyter demos and math being explained.

K_means_iris_dataset ⭐ 7

KMeans Clustering for IRIS Dataset Classification

Machine Learning ⭐ 7

Assignments of Machine Learning Graduate Course - Spring 2021

Octopus Reel ⭐ 6

"Octopus Realtime Encephalography Lab" is the (hard) real-time networked EEG-lab framework I have developed during my PhD Thesis at Brain Research Lab of Hacettepe University Faculty of Medicine Biophysics Lab. It is meant to be a holistic golden-standard solution for all tasks of cortical source localization/networking, brain-computer interfaces and neuro-feedback applications.

Landsurfaceclustering ⭐ 6

Land surface classification using remote sensing data with unsupervised machine learning (k-means).

Unsupervised Features Learning For Image Classification ⭐ 6

Recently, image classification draw attentions of many researchers. The need of object recognition grows drastically, especially in the context of biometric, biomedical imaging and real time scene understanding. Computer vision task is the most challenging in machine learning. For that reason, it's fundamental to tackle this concern using appropriate clustering and classification techniques. However, the quest for the best unsupervised features extraction remain an open problem even if CNNs r

Machine Learning Practice ⭐ 5

Repository containing introduction to scikit-learn to provide hands-on problem solving experience for all the methods and models learnt in MLT.

Medical_image_computing ⭐ 5

Medical image computing (MIC) is an interdisciplinary field, there are three essential medical image analysis techniques: medical image enhancement (MIE) and medical image segmentation (MIS).|医学图像计算 (MIC) 是计算机科学、信息工程、电气工程、物理学、数学和医学交叉的交叉学科领域。在 MIC 领域内，存在三种基本的医学图像分析技术：医学图像增强 (MIE) 和医学图像分割（MIS）。

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