Name: Karan Acharya
Type: User
Bio: Machine Learning Engineer | Computer Vision, NLP, Large Language Models, Explainable AI
Location: San Francisco, CA
Karan Acharya's Projects
A pipeline to explain any CNN Image Classification model outputs using a combination of GradCAM(visual) and Case-based Reasoning methods
An app which shows you interesting recipes for delicious bakery products
A text-only web browser
A python program that simulates the working of a coffee machine
Predicting Daily Min. Temperatures in Melbourne, Australia using a combination of Convolutional and Recurrent Neural Networks
A React Native app to fetch and retrieve word meanings, pronunciations and translations for a given word.
A Simple expense manager built using android material design and architecture components .
ā” Building applications with LLMs through composability ā”
LlamaIndex (GPT Index) is a data framework for your LLM applications
Comparing popular Parameter Efficient Fine-Tuning (PEFT) techniques for Large Language Models
An Android app which lists real-time popular and top-rated movies for you to look at on the go.
A NLP model using TensorFlow and Keras to generate poetry.
A program that learns to tag words in a sentence to their correct figures of speech using classical AI techniques
A program that uses the A* algorithm to find the best highway route between any 2 cities in North America based on : shortest distance, time and number of highway segments
Trying out TensorFlow to accurately make predictions on the Fashion MNIST Dataset
A decoder-only transformer-based script generator that writes new episode scripts for The Office (US)
Config files for my GitHub profile.
A personal page decoding me and delineating my research interests
A beautiful landing page for a fictional dating app for dogs, TinDog
Implementation of a Deep Learning-based approach to classify tissue images into organ systems they come from
A command-line to-do list program written in Python
A comparative study of different Keras layers - LSTM, GRU, Conv1D on the Sentiment140 dataset with 1.6M tweets
A program that automatically grades scanned answer sheets using Computer Vision
Convert WIDER Face Dataset to Tensorflow's TFRecord format.