Name: Sparsh Nagpal
Type: User
Bio: Data Science grad student at Uni of Washington
Also student at Github repos, SubReddits, ChatGPT, youtube and PapersWithCode
Location: Seattle, Washington, United States
Sparsh Nagpal's Projects
A mega project that includes multiple features to enhance Ads and their Click-Through Rate. The llama-2 model will be fine-tuned for generating query captions. Stable Diffusion to generate Ad Creatives. Datasets like the Meta Ads dataset will help the product determine its target audience.
Automated Machine Learning with scikit-learn
Using LLM, OpenAI Keys and StreamLit, you can have a simple model for your Question Answering ChatBot
A coursera assignment to classify between images of dogs and cats using CNN in tensorflow with keras library.
This repository contains my solutions to the Module - 2,3,4 and 5 Coding Assignments for HTML, CSS, JavaScript for Web Developers Course by Johns Hopkins University on Coursera.
Using Llama-2-7B quantized version (llama-2-7b ggml), I built a Streamlit code which can input commands about the job description and then revert with a suitable cover letter
Deep Learning Specialization by Andrew Ng on Coursera.
The following code extracts the prices and names of product using selenium and beatiful soup, provides you with the with the camparison of the two products. You can enter your phone number and be redirected to your whatsapp where you will recieve information about the product with prices and respective amazon and flipkart links.
Using powerful services like OpenAI, Twilio, and Azure, I was able to create a system that scours the internet for topic-specific articles, summarizes them, and sends them straight to my WhatsApp.
A CNN based coursera assignement using tensorflow where Horse and Human classification takes places using the means of transfer learning. The accuracy is measured upto 99.99% in the model. The user has to upload the image to view result.
a delightful machine learning tool that allows you to train, test, and use models without writing code
Extracting live tweets through Tweepy library, analysing IndiGo airlines tagged tweets, Entity Recognition
KYC using ML and CV
The above code pulls the live Nifty50 stocks statistics using web scraping
A maths addition game where you'll get random numbers as input. You have to write their sum on the box and try to get it right. The code uses Tensorflow model of mnist dataset for handwriting recognition and flask to interact with html js for the values changing realtime.
This repository contains all codes and materials of the current session. It contains the required code on Natural Language Processing, Artificial intelligence.
Implementing different machine learning models on input music data and finding the most efficient method.
This is a Python notebook that would guide you to build a Langchain LLM based model that intakes a pdf file, converts text into text chunks, which get converted to Text Embeddings and get saved to the VectorDB. VectorDB wold the using similarity search on vectors for quick response of the question answering.
About me
A sketch to face image translation model which uses Contextual GANs, GFPGANs and DeOldify to generate results.
Sparks Foundation internship tasks