Pinned Repositories
STC-Website
A website for Students' Technical Council (STC) of the IITP gymkhana. Learn more about the technical clubs and culture of our college!
Domain-Specific-Question-Answering-DevRev
Domain adaptation in open domain question answering is tackled through theme specific rankers. We also propose a novel resource allocation algorithm to select the number of paragraph to be examined for extracting the answering. Finished 1st among participating IITs in Inter IIT tech Meet 11.0
Age-and-Gender-Prediction-BOSCH
BOSCH-Age-and-Gender-Prediction
Given an input image or video, our model predicts the age (range) and gender for the identified people in each frame. Pipeline consists of super-resolution followed by a multiattribute neural network. Secured 3rd place in BOSCH's event in Inter IIT Tech Meet 10.0.
Chrome-Dino-Game
coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Customer-Attrition-Prediction
Based on data such as general bio-data, payment history, and subscriptions, this stacking-ensemble model predicts whether a customer continues to use the service or not (attrition) with an accuracy of 83.14%
Financial-Narrative-Summarization
Identifies and summarises the narrative information of the annual financial reports.
Multilingual-News-Article-Similarity
Code for "Multi-Task Training with Hyperpartisian and Semantic Relation for Multi-Lingual News Article Similarity" for SemEval Task 8
SAAR-IITP-Revamped
Student Association for Alumni Relations (SAAR) is the cell for outreach and alumni relation of IIT Patna. This project is aimed to revamp the existing website with simple, elegant, and modern UI using HTML/SASS/JS framework.
rdev12's Repositories
rdev12/BOSCH-Age-and-Gender-Prediction
Given an input image or video, our model predicts the age (range) and gender for the identified people in each frame. Pipeline consists of super-resolution followed by a multiattribute neural network. Secured 3rd place in BOSCH's event in Inter IIT Tech Meet 10.0.
rdev12/Customer-Attrition-Prediction
Based on data such as general bio-data, payment history, and subscriptions, this stacking-ensemble model predicts whether a customer continues to use the service or not (attrition) with an accuracy of 83.14%
rdev12/Financial-Narrative-Summarization
Identifies and summarises the narrative information of the annual financial reports.
rdev12/Multilingual-News-Article-Similarity
Code for "Multi-Task Training with Hyperpartisian and Semantic Relation for Multi-Lingual News Article Similarity" for SemEval Task 8
rdev12/Age-and-Gender-Prediction-BOSCH
rdev12/Chrome-Dino-Game
rdev12/coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
rdev12/coursera-natural-language-processing-specialization
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
rdev12/Cricket-ML
rdev12/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
rdev12/HelloWorld
Prints "Hello World!"
rdev12/Infinito2020
rdev12/Live-Face-Recognition
rdev12/MAACA
Code for Paper "Seeing Beyond Words: Multimodal Aspect-Level Complaint Detection in Ecommerce Videos" published in ACMM'24
rdev12/Machine-Learning-Summer-Group-2021
rdev12/Maze
rdev12/Minesweeper
rdev12/Product-Recommender
An e-commerce company wants to recommend products to its users. The company has collected only transaction data in the past. The training dataset has only 3 columns - user_id, Product bought and Order value of the product. Using this dataset, predict for all the users in the training dataset, the top 3 categories that the user might buy from.
rdev12/ROS
rdev12/SAAR-IITP
A website for SAAR. IIT Patna
rdev12/word2gm
Word to Gaussian Mixture Model