ahmed hassan's repositories
Image-Data-Augmentation-with-Keras
Image Data Augmentation with Keras
ahmed-hassan
shell using operating system linux
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
sentiment-analysis_using_nlp
sentiment-analysis-keras using nlp algorithms
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2020
AI_Chatbot_Project
NLP analysis/ RNN-Seq2Seq model/
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
corona_vairus_detection
Build deep learning using yolo for corona_vairus_detection
datasets-1
A collection of datasets of ML problem solving
deeplearning.ai-GANs-Specialization
A Generative Adversarial Networks (GANs) Specialization made by deeplearning.ai on Coursera
dlaicourse
Notebooks for learning deep learning
flask_app
This Repository include Flask app for deploy Machine learning into production
Generative-Adversarial-Networks-GANs-Specialization-1
Solutions to DeepLearning.AI Generative Adversarial Networks (GANs) Specialization
labelImg
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
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
mask-detector
build mask detector to classify if person wear mask or not
Naive_bayes-for-sms-classifier
Naive-Bayes-SPAM-detection-Udacity-Machine-Learning-ND
NLP_Arabic_Language
This repo will include the latest technique in Arabic language
Part-of-Speech-Tagging-with-Hidden-Markov-Models
Pomegranate library to build a hidden Markov model for part of speech tagging with a universal tagset. Hidden Markov models have been able to achieve >96% tag accuracy with larger tagsets on realistic text corpora. Hidden Markov models have also been used for speech recognition and speech generation, machine translation, gene recognition for bioinformatics, and human gesture recognition for computer vision
reinforcement-learning-implementation
Reinforcement Learning examples implementation and explanation
Sentiment-Analysis-with-LSTM
An end-to-end Project that scrapes user Reviews from Amazon, creates it's own training data using VADER on half the dataset, and uses the other half for testing the LSTM-Neural Network.
speech_Recognition
you will build a deep neural network that functions as part of an end-to-end automatic speech recognition (ASR) pipeline
TensorFlow_Lite
deploy model on Android-ios-Edge Devices using Tensorflow Lite
yolo_darknet
This repo for forked to change it on custom data