Pinned Repositories
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
DeepFakeDetection
This project was completed as part of the Deep Learning course (GLO-4030) at Laval University. Its goal is to detect deepfake videos using deep learning techniques on the FaceForensics dataset. We were able to achieve deepfake detection by using the EfficientNet model.
DeepFakeDetection-mlops-model-building
Deepfake Detection MLOps - Build End-to-End Pipeline using Sagemaker Pipeline, AWS CodeBuild and AWS CodePipeline - Part 1
DeepFakeDetection-mlops-model-deployment
Deepfake Detection MLOps - Build End-to-End Pipeline using Sagemaker Pipeline, AWS CodeBuild and AWS CodePipeline - Part 2
DeepFakeDetection-torchserve-deployment
How to deploy the deefake detection model using torchserve
multilabel-oversampling
Many algorithms for imbalanced data support binary and multiclass classification only. This approach is made for mulit-label classification (aka multi-target classification). :sunflower:
naram92's Repositories
naram92/DeepFakeDetection
This project was completed as part of the Deep Learning course (GLO-4030) at Laval University. Its goal is to detect deepfake videos using deep learning techniques on the FaceForensics dataset. We were able to achieve deepfake detection by using the EfficientNet model.
naram92/DeepFakeDetection-torchserve-deployment
How to deploy the deefake detection model using torchserve
naram92/DeepFakeDetection-mlops-model-building
Deepfake Detection MLOps - Build End-to-End Pipeline using Sagemaker Pipeline, AWS CodeBuild and AWS CodePipeline - Part 1
naram92/DeepFakeDetection-mlops-model-deployment
Deepfake Detection MLOps - Build End-to-End Pipeline using Sagemaker Pipeline, AWS CodeBuild and AWS CodePipeline - Part 2
naram92/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.