Deep-Learning based CTR models implemented by PyTorch
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Updated
Mar 11, 2021 - Python
Deep-Learning based CTR models implemented by PyTorch
EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)
A deep learning CNN model to predict diseases in plants using the famous AlexNet architecture
Modeling and designing Photonic Crystal Nanocavities via Deep Learning
Finding a Artists Style
Detection of people and weapons from video footage or images. The detection time was 30ms - 35ms per frame with Darknet-YOLOv4. A custom dataset was used for the training of the object detection model and data integration was performed using OIDv4 ToolKit.
This project researched the credit card transaction dataset and tried various machine learning classification models on the dataset to determine the best model that would flag suspicious activity more accurately.
Gender Prediction from Social Media profile pictures using Deep Learning
Concrete cracking is a major issue in Bridge Engineering. Detection of cracks facilitates the design, construction and maintenance of bridges effectively.
Semantic Description of Images- A deep learning model for describing images using natural language.
Earth observation software powered by Machine Learning (ML). Viewable in Google Maps and WebGL Earth.
An implementation of SRCNN
Learning How to Hop Between Space Objects Using Low-Thrust Propulsion
Convolutional Neural Network to Classify Dogs and Cat. I built a ImageClassifier which classifies and tells you whether its a Dog image or a Cat image. I built a convolutional network which consists of Three Convolution layer and Three MaxPooling layer. Each Convolutional layer has filters, kernel size. Maxpooling layer has stride and pooling si…
A collection of deep learning projects and code from Human Unsupervised.
This is a deep learning model used to identify whether a particular type of breast cancer is malignant or benign. It takes 30 features like area, texture, perimeter etc. in input and based on that features does the required classification. The project involves making deep neural network and training and testing the model with the help of data av…
DeepLearning.AI TensorFlow Developer Professional Certificate Specialization
Practice building different deep neural net models starting with simple problems
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