charmichokshi

ML-Workshop-Material

This repository contains presentations and codes developed by me while delivering sessions on ML and DL.

Unsupervised-Image-Segmentation-Algorithms

ClickbaitDetector

A Transformer-based News Clickbait Detector

Face-Recognition

Face Recognition using number of different approaches.

ML-DL

Projects of Machine Learning and Deep Learning

Udacity-Data-Foundations-Nanodegree

Contains projects done by me as part of the nanodegree.

DocBot

This chatbot is built using the Retrieval-Augmented Generation (RAG) framework, leveraging Cohere Model and Embeddings. It processes uploaded PDF documents by breaking them down into manageable chunks, creates a searchable vector store, and generates accurate answers to user queries.

Human_Activity_Recognition

Human Activity Recognition using smartphone dataset

IngeniousHackathon_Talisman

CV Recommendation Model created in 36 hr. Data Science Hackathon.

Region-Growing-Algorithm-on-RGB-Image

Implementation of Region Growing Algorithm on RGB Colour Image with Parallel Processing.

Speaking-Engagements

Conversational_Question_Anwering_System

This repository contains various methods such as FlowQA, GraphFlow and BERT based models for conversational Q&A system

Image-Segmentation-Using-CNN

SmartDustbin

Touch Free and GSM based garbage and waste collection bin overflow indicator system for smart cities.

VQA-Visual-Question-Answering

Visual Question Answering system

Bert4CoQA

Bert for CoQA based on PyTorch.

Experiments-with-Gemma

Facebook-PyTorch-Scholarship-Challange

Contains codes developed as part of the Udacity course on DL with PyTorch sponserted by Facebook AI.

ift-3710-6759

A dummy repository for educational purposes

IFT6135_Programming

ML-with-Julia

Julia Jupyter/Colab Notebooks

OMR_Sheets_Artificial_Genration_DCGAN

Keras implementation of Deep Convolutional Generative Adversarial Networks

Optical-Character-Recognition

Detecting boxes and extract them one by one accurately for all PDFs of invoice to extract text within it like consignee and shipper name & address.

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Programming

A collection of programming problems.

PushbackChallenge

quickstart-android

Firebase Quickstart Samples for Android

RAG_Llama2

Retrieval Augmented Generation System Using Meta-Llama2 & Hugging Face for Questioning PDF documents

RMDL

RMDL: Random Multimodel Deep Learning for Classification

RTT_NEWS_SCARAPER