Pinned Repositories
Adversarial-Training
Virtual Adversarial Training - Method using Adversarial Perturbations to make the model training more robust
cd0025-supervised-learning
Project code for cd0025 Supervised Learning
Deep-Image-Prior
Notebook and Presentation Discussing "Deep Image Prior" - Using NN for Image Restoration without conventional training with huge dataset
E-Net
frustum_pointnets
harsh-agar
Image-Inpainting-without-Mask
Image Inpainting using 3-Module Mask comprising of - Predictor, Edge Generator and Image Inpainter
Pseudo-Labeling
A Semi-Supervised Learning Technique which assigns labels to the unlabeled data using the predictions of the network trained on the labeled data
ShuffleSeg
Unseen-passage-QA-system
Questions based on English Comprehension are usually asked to check the Reader's understanding about the comprehension. Our aim is to develop an automated supervised algorithm which can help the system to learn from the comprehension and use it to determine correct answer to the respective question.
harsh-agar's Repositories
harsh-agar/ShuffleSeg
harsh-agar/Deep-Image-Prior
Notebook and Presentation Discussing "Deep Image Prior" - Using NN for Image Restoration without conventional training with huge dataset
harsh-agar/Adversarial-Training
Virtual Adversarial Training - Method using Adversarial Perturbations to make the model training more robust
harsh-agar/cd0025-supervised-learning
Project code for cd0025 Supervised Learning
harsh-agar/E-Net
harsh-agar/frustum_pointnets
harsh-agar/harsh-agar
harsh-agar/Image-Inpainting-without-Mask
Image Inpainting using 3-Module Mask comprising of - Predictor, Edge Generator and Image Inpainter
harsh-agar/Pseudo-Labeling
A Semi-Supervised Learning Technique which assigns labels to the unlabeled data using the predictions of the network trained on the labeled data
harsh-agar/Unseen-passage-QA-system
Questions based on English Comprehension are usually asked to check the Reader's understanding about the comprehension. Our aim is to develop an automated supervised algorithm which can help the system to learn from the comprehension and use it to determine correct answer to the respective question.
harsh-agar/ishu-task