ahmed-hassan97 Goto Github PK

first_project_for_classification

project classify disease into ten ouput

flask_app

This Repository include Flask app for deploy Machine learning into production

freertos_examples

FreeRtos_examples using stm32 and freertos on system workbensh ide

fruit_ninga-game

fruit ninga game using javafx

generative-adversarial-networks-gans-specialization

generative-adversarial-networks-gans-specialization-1

Solutions to DeepLearning.AI Generative Adversarial Networks (GANs) Specialization

gpio_driver

heep-sort

https-github.com-lwfinger-rtlwifi_new.gitunoffcial

image-captioning

This project can generate captions of what the images contain, using COCO dataset based on CNN and LSTM, part of Udacity's computer vision nanodegree

image-data-augmentation-with-keras

Image Data Augmentation with Keras

image_captioning

Image_Captioning using coco dataset and pretrained model

indonesian-twitter-emotion-dataset

Indonesian twitter dataset for emotion classification task

insertion-sort-algorithm

investigate_tmdb_movies

investigate movie dataset to analysis it using data analysis library

iot_project

iot project using dweet in java script and html and css

kafka-stream-integration

kaggle_competition-

Comprehensive data exploration with Python (regression of housing price)

keras_example

mini project from deep learning specialization (andrew course from coursera)

labelimg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

lane-lines-detection-using-python-and-opencv

In this project, I used Python and OpenCV to detect lane lines on the road. I developed a processing pipeline that works on a series of individual images, and applied the result to a video stream.

latent_dirichlet_allocation

LDA is used to classify text in a document to a particular topic. It builds a topic per document model and words per topic model

lcd_driver

lcd_driver_using 8bit and avr microcontroller

lcd_driver_4bit

lcd_driver_4bit using atmega16

license_plate_detection

linear-search

linked-list

lstm-human-activity-recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

machine-translation-from-english-to-france

build a deep neural network that functions as part of an end-to-end machine translation pipeline. Your completed pipeline will accept English text as input and return the French translation

manarshahin48