debashish05 Goto Github PK

3d-object-detection-tracking

adding-and-testing-a-new-system-call-to-linux-kernel

anxiety-increases-information-seeking-in-response-to-large-changes

bowling-alley-virtual-reality-

Bowling Simulation application as a VR based application. We are Rebuilding the existing JAVA based Bowling Alley project in UNITY which is used for developing VR and Web 3D Products.

bowlingalley

Refactor the current code based on Metrics Analysis System

competitive_programming

All my codes of Codechef and Codeforces

computational-social-science

condensedmovies

Story-Based Retrieval with Contextual Embeddings. Largest freely available movie video dataset. [ACCV'20]

condensedmovies-chall

Condensed Movies Challenge 2021

cv-stereo-disparity-graph-cuts

Stereo disparity maps in Python using graph cuts

debashishppa

deedy-resume

A one page , two asymmetric column resume template in XeTeX that caters to an undergraduate Computer Science student

explainable_detection_of_online_sexism

SemEval-2023 Task 10

file-explorer

first-web-site

foo-bar

Google Foo Bar (Google Secret Hiring Challenge) Challenge Solutions

gpt4all

gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue

image-style-transfer-using-convolutional-neural-networks

A Keras Implementation of Image Style Transfer Using Convolutional Neural Networks

inode-based-file-system-implementation

latex-resume-keval-morabia

My CV/Resume Latex Template!

leetcodep

multi-label-text-classification-using-attention-based-graph-neural-network

In Multi-Label Text Classification (MLTC), one sample can belong to more than one class. It is observed that most MLTC tasks, there are dependencies or correlations among labels. Existing methods tend to ignore the relationship among labels. In this paper, a graph attention network-based model is proposed to capture the attentive dependency structure among the labels. The graph attention network uses a feature matrix and a correlation matrix to capture and explore the crucial dependencies between the labels and generate classifiers for the task. The generated classifiers are applied to sentence feature vectors obtained from the text feature extraction network(BiLSTM) to enable end-to-end training. Attention allows the system to assign different weights to neighbor nodes per label, thus allowing it to learn the dependencies among labels implicitly. The results of the proposed model are validated on five real-world MLTC datasets. The proposed model achieves similar or better performance compared to the previous state-of-the-art models.

new-grad-positions-2023

A collection of New Grad full time roles in SWE, Quant, and PM.

pal-usb

DreamVu PAL-USB SDK

peer-to-peer-group-based-file-sharing-system

pluginsystem

pregsoc-2019

process-coordination

The goal of this project is to solve some problems involving process co-ordination, in C using pthreads and semaphores. Grading of this project will be based on two criteria, correctness and presentation of code, and report that you will submit.

program-made-for-joy

ramsar-site-loktak-lake