priyansh4320

Abstractive-Text-Summarization-Enhancing-Sequence-to-Sequence-Models-Using-Word-Sense-Disambiguatio

This repository contains code and resources for abstractive text summarization (TS) using a novel framework that leverages knowledge-based word sense disambiguation (WSD) and semantic content generalization to enhance the performance of sequence-to-sequence (seq2seq) neural-based TS.

alexa-reviews-sentiment-prediction-model

a classification model to predict the sentiment either (1 or 0) based on Amazon Alexa reviews

BBC-News-Classification-using-hugging-face

classify news into five categories: business, entertainment, politics, sport, and tech.

classification-mobile-price-analysis-

Create a classification model to predict whether price range of mobile based on certain specifications

coffee-machine-project

1. Prompt user by asking “ What would you like? (espresso/latte/cappuccino): ” a. Check the user’s input to decide what to do next. b. The prompt should show every time action has completed, e.g. once the drink is dispensed. The prompt should show again to serve the next customer. 2. Turn off the Coffee Machine by entering “ off ” to the prompt. a. For maintainers of the coffee machine, they can use “off” as the secret word to turn off the machine. Your code should end execution when this happens. 3. Print report. a. When the user enters “report” to the prompt, a report should be generated that shows the current resource values. e.g. Water: 100ml Milk: 50ml Coffee: 76g Money: $2.5 4. Check resources sufficient? a. When the user chooses a drink, the program should check if there are enough resources to make that drink. b. E.g. if Latte requires 200ml water but there is only 100ml left in the machine. It should not continue to make the drink but print: “ Sorry there is not enough water. ” c. The same should happen if another resource is depleted, e.g. milk or coffee. 5. Process coins. a. If there are sufficient resources to make the drink selected, then the program should prompt the user to insert coins. b. Remember that quarters = $0.25, dimes = $0.10, nickles = $0.05, pennies = $0.01 c. Calculate the monetary value of the coins inserted. E.g. 1 quarter, 2 dimes, 1 nickel, 2 pennies = 0.25 + 0.1 x 2 + 0.05 + 0.01 x 2 = $0.52 6. Check transaction successful? a. Check that the user has inserted enough money to purchase the drink they selected. E.g Latte cost $2.50, but they only inserted $0.52 then after counting the coins the program should say “ Sorry that's not enough money. Money refunded. ”. b. But if the user has inserted enough money, then the cost of the drink gets added to the machine as the profit and this will be reflected the next time “report” is triggered. E.g. Water: 100ml Milk: 50ml Coffee: 76g Money: $2.5 c. If the user has inserted too much money, the machine should offer change. E.g. “Here is $2.45 dollars in change.” The change should be rounded to 2 decimal places. 7. Make Coffee. a. If the transaction is successful and there are enough resources to make the drink the user selected, then the ingredients to make the drink should be deducted from the coffee machine resources. E.g. report before purchasing latte: Water: 300ml Milk: 200ml Coffee: 100g Money: $0 Report after purchasing latte: Water: 100ml Milk: 50ml Coffee: 76g Money: $2.5 b. Once all resources have been deducted, tell the user “Here is your latte. Enjoy!”. If latte was their choice of drink.

ecommerce-website-customer-churn-data-analysis

given an ecommerce website I have to perform data analysis on customer churn and extract insights from it

google-cloud-genrative-ai

This repos contains notebooks for the Advanced Solutions Lab: ML Immersion

Ice-Sejj

Introducing Ice-Sejj: Your Ultimate NLP and Machine Learning Solution

sEmantic_sentence_similarity_model_api_with_transformers_and_tensorflow

an api for the sns model created (semantic sentence similarity model using tansformers ,tenosrflow and fastapi ) : hosted on aws

Text-Guided-Sketch-to-photo-Image-Synthesis

a text-guided sketch-to-image synthesis model that semantically mixes style and content features from the latent space of an inverted Generative Adversarial Network (GAN). Our goal is to synthesize plausible images from human facial sketches and their respective text descriptions.

priyansh4320/Abstractive-Text-Summarization-Enhancing-Sequence-to-Sequence-Models-Using-Word-Sense-Disambiguatio

This repository contains code and resources for abstractive text summarization (TS) using a novel framework that leverages knowledge-based word sense disambiguation (WSD) and semantic content generalization to enhance the performance of sequence-to-sequence (seq2seq) neural-based TS.

priyansh4320/Text-Guided-Sketch-to-photo-Image-Synthesis

a text-guided sketch-to-image synthesis model that semantically mixes style and content features from the latent space of an inverted Generative Adversarial Network (GAN). Our goal is to synthesize plausible images from human facial sketches and their respective text descriptions.

priyansh4320/Ice-Sejj

Introducing Ice-Sejj: Your Ultimate NLP and Machine Learning Solution

priyansh4320/google-cloud-genrative-ai

This repos contains notebooks for the Advanced Solutions Lab: ML Immersion

priyansh4320/sEmantic_sentence_similarity_model_api_with_transformers_and_tensorflow

an api for the sns model created (semantic sentence similarity model using tansformers ,tenosrflow and fastapi ) : hosted on aws

priyansh4320/Time-Series-Forecasting-Channel-Aligned-Robust-Dual-Transformer-implementation

The CARD (channel-aligned robust dual Transformer) model is an upgrade or enhancement of the traditional Transformer architecture specifically tailored for time series forecasting.

priyansh4320/autogen

Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ

priyansh4320/clone_video_gen_application

generate clone videos for digital marketing

priyansh4320/CLUMOSS

AI Intern projects task repo

priyansh4320/composio

Composio equips agents with well-crafted tools empowering them to tackle complex tasks

priyansh4320/face-extractor

Python script that detect faces on the image or video, extracts them and saves to the specified folder

priyansh4320/gpt-pilot

Dev tool that writes scalable apps from scratch while the developer oversees the implementation

priyansh4320/HR-Analytics

This project utilized Tableau, Power BI, and SQL to provide comprehensive insights into essential HR metrics and trends. Through visualizations and data analysis techniques, the dashboard empowered HR professionals to discern patterns and make informed, data-driven decisions. Thorough QA/testing ensured the accuracy and reliability of the reports.

priyansh4320/ImageClassification

Jupyter notebook showing how to build an image classifier with Python and Tensorflow

priyansh4320/LargeLanguageModelsProjects

Large Language Model Projects

priyansh4320/LLMsPracticalGuide

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

priyansh4320/Machine-Learning-Projects

This Contain Some Machine Learning Projects that I have done while understanding ML Concepts.

priyansh4320/mr_disrespect.ai

it is a chatbot project that generates disrespectful reply each time you have a conversation with it

priyansh4320/privateGPT

Interact with your documents using the power of GPT, 100% privately, no data leaks

priyansh4320/priyansh4320

priyansh4320/priyansh4320.github.io

portfolio

priyansh4320/pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

priyansh4320/Pytorch_practice

practice pytorch from basics

priyansh4320/Spy-Gadget

AI driven spy gadget

priyansh4320/spy-gadget2

sda

priyansh4320/SRGAN

Super Resoultion GAN with Keras

priyansh4320/streamThoughts

priyansh4320/tensorflow-practice

cognitve class notebooks on tensorflow

priyansh4320/TEXT-DRIVEN-VISUAL-TRANSLATION-SKETCH-TO-PHOTO-GUIDED-SYNTHESIS

his task aims to bridge the gap between rough sketches and fully rendered images, enabling the automatic generation of visually appealing content from minimal input. The objective of this problem is to develop a generative model like the Diffusion Model architecture that can convert hand-drawn sketches into detailed and realistic images.

priyansh4320/XploitSPY

XploitSPY is an Android Monitoring Tool