Arkadipta De's repositories
Gradient-Descent-Algorithms
A collection of various gradient descent algorithms implemented in Python from scratch
A-Deep-Learning-Approach-for-Automatic-Detection-of-Fake-News
Research Paper Published at ICON 2019, indexed in ACL Anthology by Tanik Saikh, Arkadipta De, Asif Ekbal, Pushpak Bhattacharyya
Alogirthms
A collection of some of the most frequently used Algorithms in C++ and Python
TALLIP-FakeNews-Dataset
Multilingual Fake News Dataset created for the research paper "A Transformer Based Approach to Multilingual Fake News Detection in Low Resource Languages" accepted at the ACM Transactions on Asian and Low-Resource Language Information Processing (ACM TALLIP)
Data-Structures
A collection of Python implementations of various data structures
Hostility-Detection-in-Hindi-Constraint-2021
Research Work at Constraint AAAI 2021. Paper Accepted at AAAI 2021 @ CONSTRAINT (Publisher: Springer CCIS)
Research-Paper-Title-Generation-and-Tag-Classification
A transformer based deep learning approach to title generation of research papers and paper tags classification
CLEVER-Program-Generator-2
Inferring and Executing Programs for Visual Reasoning
covid-twitter-bert
Pretrained BERT model for analysing COVID-19 Twitter data
CrossPoint
Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)
CS6370
Assignments at IITH offered in Information Retrieval (CS6370) for AI MTech
CV_Models_Library
Sandbox for training deep learning networks
DefRec_and_PCM
Self-Supervised Learning for Domain Adaptation on Point-Clouds
explainx
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.
OpenScene
[CVPR'23] OpenScene: 3D Scene Understanding with Open Vocabularies
Point-Cloud-Basic-Utils
A Python library for common tasks on 3D point clouds
Prototypical-Cross-Domain-Learning---FUDA
Official implementation of PCS in essay "Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation"
pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
responsible-ai
Responsible AI knowledge base
Self_supervised_Learning_Point_Clouds
Self-supervised Learning of Point Clouds via Orientation Estimation (3DV 2020)
VQ-VAE
A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)