Discover codebugged/Brain-Tumor-Detection Open Source project

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MIT License
Created over 4 years ago
Updated almost 4 years ago

codebugged

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Artificial Intelligence (AI) based on a combination of deep-learning algorithms and laser-imaging technology can be utilized to examine brain tissue and detect a brain tumor in near real-time

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This repository contains tutorial for Deepfake Avatar and link to Colab Notebook

Jupyter Notebook

Titanic

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Face-Recognition-using-HAAR

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Digit-Recognition

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NLP-Basics

Basic implementation of NLP using Spacy and NLTK for Text Classification and Cosine Similarity

Jupyter Notebook

Tensorflow-Optimizations

Jupyter Notebook

Deep-Learning-Brew

This repository contains all the squeezed and simplified notes which can be a game changer in production.

Jupyter Notebook

YOLO_Brew

The most basic implementation of Yolo algorithm using Python framework

Jupyter Notebook

AI-Based-Proctoring

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Mongo-Python

Basic codes to create scripts which could interact with mongodb

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Pytorch-Brew

Basic concepts for Implementing Neural Network in Pytorch

wheat

NV-Deepstream

LSTM-Brew

Jupyter Notebook

YOLO-Darknet-TF-Learning

YOLO Family Custom Object Detection Transfer Leaning Pipeline

Jupyter Notebook

Covid-19-Detection-X-ray

Detecting COVID-19 using AI

Jupyter Notebook

Automatic-Health-Mailer

A project which predicts disease based on features and automatically send mail to the particular mail using SMTP protocol

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Learn-Python

My favorite language for maintainability is Python. It has simple, clean syntax, object encapsulation, good library support, and optional named parameters.

Jupyter Notebook

codebugged/Brain-Tumor-Detection

codebugged

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