YashSharma

C2C

Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.

MultivariateTimeSeries

Encoding Time Series as Images for Classification using CNNs

MaNi

Implementation of MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation

AudioDiffusionClassification

We use audio diffusion models for improving the classification performance.

PromptEngineering

HistoTransfer

Implementation of HistoTransfer published in IEEE-BHI 2021.

StudentHunt

ZSAssociatesHackerRankChallenge

AV_Rampaging_DataHulk

MiniHack organised by Analytics Vidhya.

BikeSharing

C-files

CLAM

Data Efficient & Weakly Supervised Computational Pathology on Whole Slide Images

cliport

For Interactive Robot Class Project

CS-212

Code for Design and Analysis of Algorithms Assignments

Digit_Classifier

Ipython Version of Michael Nielsen-Deep Learning and Neural Network Code with some modifications.

ExhibitionCrawler

Experiments

Repo for semi-documented implementation.

FastAI-Practice

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

Knocktober

Analytics Vidhya Hackathon - Knocktober

Learning

LLMFineTune

MachineLearning

Contains all of my machine learning files including the Andrew Ng Stanford University course programming exercise.

MNIST-DomainAdaptation

Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

response_predictor

riptide

Reaction Inclusion by Parsimony and Transcript Distribution

StockPredictor

titanic_data_analysis

yashsharma.github.io

Personal Website