iishreya Goto Github PK

a_scalable_dnn_architecture_for_multi_building_and_multi_floor_indoor_localization

aima-pseudocode

Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

automatic_text_summarization_bert

awesome-rl

Reinforcement learning resources curated

awesome-virtual-try-on

A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.

bangalasr

Transformer based Bangla Speech Recognition

batches

canteen_billing_system

A simple c_++ software application for Canteen Management and Billing. It demonstrates the use of classes, objects and file handling.

cartpoleenv_hillclimbingalgo

Hill Climbing Algorithm implemented for the Cart Pole Environment.

cash-sttlement-project

In Splitwise Cashflow Minimization with help of heap , minimise number of transaction among n people. My project Splitwise Cashflow Minimization inspiration came from using Splitwise App in which keep track of your shared expenses and balances with housemates, trips, groups, friends, and family. For Example, if the following weighted directed graph represents some people and the arrows represent debts between them (Alice owes Bob $20 and Charlie $5, Bob owes Charlie $10, etc. How to pick the first person? To pick the first person, calculate the net amount for every person where net amount is obtained by subtracting all debts (amounts to pay) from all credits (amounts to be paid). Once net amount for every person is evaluated, find two persons with maximum and minimum net amounts. These two persons are the most creditors and debtors. The person with minimum of two is our first person to be settled and removed from list. Let the minimum of two amounts be x. We pay ‘x’ amount from the maximum debtor to maximum creditor and settle one person. If x is equal to the maximum debit, then maximum debtor is settled, else maximum creditor is settled.

clean-code-notes

My notes of Clean Code book

computer-science-book-experiment

corono_tweet_sent

Sentiment Analysis on the Corona Tweet Dataset. Classification of tweets into classes: Positive, Negative and Neutral using various Machine Learning Models and Pre-Trained Models such as BERT and RoBERTa.

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

diabetic-foot-ulcer

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

foot_measure_project

funprojectsandresume

iishreya

interview_coding_questions

A collection of possible coding questions and my solutions.

investigating-legal-summarization

investigating-legal-text-summarization

learning-mario-agent

Learning Mario Agent with the Double Deep Q-Learning Algorithm in the Gym Super Mario Environment.

leetcode-questions-companywise

Contains Company Wise Questions sorted based on Frequency and all time

ml_101

povertyprediction

project_google_clone

Google Clone App powered by RapidAPI

projects_realestate

Build and Deploy a Real Estate React & Next.js Application