SaraaAwwad's Stars
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
enaqx/awesome-react
A collection of awesome things regarding React ecosystem
jbhuang0604/awesome-computer-vision
A curated list of awesome computer vision resources
magenta/magenta
Magenta: Music and Art Generation with Machine Intelligence
lengstrom/fast-style-transfer
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
yenchenlin/DeepLearningFlappyBird
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
mbadry1/DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
lisa-lab/DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
hmkcode/Android
Android related examples
robi56/Deep-Learning-for-Recommendation-Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
udacity/ud851-Sunshine
albarqouni/Deep-Learning-for-Medical-Applications
Deep Learning Papers on Medical Image Analysis
surveyjs/survey-creator
Scalable open-source survey software to generate dynamic JSON-driven forms within your JavaScript application. The form builder features a drag-and-drop UI, CSS Theme Editor, and GUI for conditional logic and form branching.
google/emoji-scavenger-hunt
Emoji Scavenger Hunt is an experiment that leverages the power of neural networks and your phone’s camera to identify the real world versions of the emojis we use every day.
llSourcell/tensorflow_image_classifier
TensorFlow Image Classifier Demo by @Sirajology on Youtube
googlecreativelab/aiexperiments-giorgio-cam
Take a picture to make music with the computer.
shreyans29/thesemicolon
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
googlecreativelab/inside-music
Inside Music lets you step inside of a song, seeing its individual pieces to give you a closer look at how music is made.
alxndrkalinin/awesome-deepneuroimage
A curated list of awesome deep learning applications in the field of neurological image analysis
obendidi/X-ray-classification
X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2
21Vipin/Medical-Image-Classification-using-deep-learning
Tumour is formed in human body by abnormal cell multiplication in the tissue. Early detection of tumors and classifying them to Benign and malignant tumours is important in order to prevent its further growth. MRI (Magnetic Resonance Imaging) is a medical imaging technique used by radiologists to study and analyse medical images. Doing critical analysis manually can create unnecessary delay and also the accuracy for the same will be very less due to human errors. The main objective of this project is to apply machine learning techniques to make systems capable enough to perform such critical analysis faster with higher accuracy and efficiency levels. This research work is been done on te existing architecture of convolution neural network which can identify the tumour from MRI image. The Convolution Neural Network was implemented using Keras and TensorFlow, accelerated by NVIDIA Tesla K40 GPU. Using REMBRANDT as the dataset for implementation, the Classification accuracy accuired for AlexNet and ZFNet are 63.56% and 84.42% respectively.
DoDuy/Lung-Diseases-Classifier
Diseases Detection from NIH Chest X-ray data
Oulu-IMEDS/DeepKnee
Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
desimone/Musculoskeletal-Radiographs-Abnormality-Classifier
An implementation of MURA Dataset Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs
llSourcell/naive_bayes_classifier
This is the code for "Probability Theory - The Math of Intelligence #6" By Siraj Raval on Youtube
kradolfer/quickdraw-image-recognition
Comparing different machine learning algorithms to classify drawings made in the game 'Quick, draw!'.
DLinRadiology/First_model_chest_x-ray_classification
First attempt at a deep learning application for radiology. For learning purposes.
Kebniss/Cardiotocography-classification
Machine learned model that classifies CTG results as normal or suspect
srmsoumya/chest-scan-classifier
Deep Network to classify chest scan images of NIH gov data