Discover AKASH2907/Content-based-Video-Relevance-Prediction Open

Stars
18
Rank 1,208,065 (Top 24 %)
Language
Python
Created over 6 years ago
Updated over 5 years ago

AKASH2907

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Content-based Video Relevance Prediction on "cold-start" problems. Recommending new uploaded videos to users based on the extracted features.

project_sunroof_india

Analyzed Google Satellite images to generate a report on individual house rooftop's solar power potential

Python

127

bird_species_classification

Supervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data [ICVGIPW'18]

Python

deepfakes_video_classification

Deepfakes Video classification via CNN, LSTM, C3D and triplets [IWBF'20]

Python

image_forgery_detection_papers

A collection of deep learning approaches and datasets publicly available for image forgery and deepfakes detection

Introduction_to_Deep_Learning_Coursera

Intro to Deep Learning by National Research University Higher School of Economics

Jupyter Notebook

pi-consistency-activity-detection

End-to-End Semi-Supervised Learning for Video Action Detection [CVPR 2022]

Python

Forgery-Classification-via-Domain-Adaptation

Classifying Forged vs Authentic using Domain Adaptation across in new domains in unsupervised settings

Python

indian_landmark_recognition

Indian Architectural Styles Recognition using salient detection, supervised feature classification and ImageNet trained models.

Python

awesome-spatio-temporal-action-detection

A curated list of papers in the domain of spatio-temporal action detection (or action localization.) NOTE: This repository does not contains papers for Temporal Action Localization.

caltech_ucsd_bird_classification

Fine-grained classification of 200 species of birds

Python

nlp_setiment_analysis

Sentiment Analysis on Fake News and Amazon Products Reviews

Jupyter Notebook

fcn_semantic_segmentation

Python

Kaggle_practice

My practice and learning in the field of ML and Deep Learning in Kaggle competitions

Jupyter Notebook

deep_learning_practice

keras & Pytorch implemetation of deep learning models: fine-tuning approaches, dataset analysis, hyperparameter optimization, etc.

Jupyter Notebook

synthetic_dataset_generation

Synthetic forgery dataset generation from COCO dataset

Jupyter Notebook

AKASH2907/Content-based-Video-Relevance-Prediction

AKASH2907

Reviews

Repository Details

More Repositories