shivangibithel Goto Github PK

algorithms-explainations

All Algorithms explained in simple English Language with example and links to their implementation in various programming languages and other required resources.

beat

Android Music Player Application

bits-g513_metalearning

Labs for the course on Meta Learning at BITS-Goa

clip_prefix_caption

Simple image captioning model

code_jfse

This is the source code of "Joint Feature Synthesis and Embedding: Adversarial Cross-modal Retrieval Revisited".

col865-social-computing

Social Computing by Prof. Abhijnan IIT Delhi

col_873_iit_delhi

COL873 - Advance Information Retrieval

computer-vision-col780

cross-modal-hashing-srlch

Codes of our work SRLCH

cross-modal-retrieval-using-cmfh

cs131_notes

Class notes for CS 131.

cs5060-acn

Adding client-server applications created in c/c++ using socket programming

cs6013-adsa

Advance Data Structure and Algorithms

diffusers

ell_784_assignment3-svm

Intro to ML Assignment 3

ell_784_assignment_2

Intro to ML Assignment 2

hacksprint-v2.0

Website created at a Hackathon at UIET PU

information-retrieval-cs6370

Information Retrieval CS6370 Project

intelligent_reader_infosys

This is a project that I completed as part of my Internship at Infosys Mysore

irmidis-2022

Code, submission, dataset

irmidis_task2

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

miccai-2022-hackathon

msmarco-question-answering

MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension and question answering

my-java-codes

Java Training: practice codes

nlp-col772

Natural Language Processing Assignments

ocmfh

Source Code for Online Collective Matrix Factorization Hashing. Reference: Di Wang, Quan Wang, Yaqiang An, Xinbo Gao, and Yumin Tian. 2020. Online Collective Matrix Factorization Hashing for Large-Scale Cross-Media Retrieval. In 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’20), July 25–30, 2020, Virtual Event, China. ACM, New York, NY, USA, 10 pages. https://doi.org/10.1145/3397271.3401132.

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

python

All Algorithms implemented in Python

pytorch-deep-learning

Deep Learning (with PyTorch)