Ketan Ramaneti's repositories
Image-Edit-As-ImageGen
Repository Corresponding to Project Component of 10-623 Gen AI course
mlip-explainability-lab
Repository for Recitation Lab 10 - Machine Learning in Production [Spring 2024]
MLIP_Lab7
This repo is designed for MLIP_Lab7 - MLFlow. This lab focus on the experiment tracking aspect of MLFlow
mlip-kubernetes-lab
Repository for Recitation Lab 9 - Machine Learning in Production [Spring 2024]
mlip-monitoring-lab
Repository for Recitation Lab 8 - Machine Learning in Production [Spring 2024]
MLIP_Lab6
This repo provides a starter code for Lab 6 - CI with Jenkins
mlip-docker-lab
Repository for Recitation Lab 5 - Machine Learning in Production [Spring 2024]
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
mlip-kafka-lab
Repository for Recitation Lab 2 - Machine Learning in Production [Spring 2024]
mlip-api-lab
Repository for Recitation Lab 1 - Machine Learning in Production [Spring 2024]
hw5-llm
Train a small LLM on the OpenWebText.
Test-Toolchains
Assignment 1 of 18-763
skills-introduction-to-github
My clone repository
skills-communicate-using-markdown
My clone repository
mltrace
Coarse-grained lineage and tracing for machine learning pipelines.
question_answering
Neural question answering using transformers
Benjamin-Graham-and-Warren-Buffett-Model-Stock-Exchange-
There are about 4000 stocks which are actively traded on the stock exchanges at BSE and NSE. Can we extract public financial data from sites like moneycontrol.com to find which are the fundamentally strong stocks. On what stocks would the father of value investing, Benjamin Graham and Warren Buffett the most successful investors in the world make their investments on. Benjamin Graham and Warren Buffett Model Step 1: Filter out all companies with sales less than Rs 250 cr. Companies with sales lower than this are very small companies and might not have the business stability and access to finance that is required for a safe investment. This eliminates the basic business risk. Step 2: Filter out all companies with debt to equity greater than 30%. Companies with low leverage are safer. Step 3: Filter out all companies with interest coverage ratio of less than 4. Companies with high interest coverage ratio have a highly reduced bankruptcy risk. Step 4: Filter out all companies with ROE less than 15% since they are earning less than their cost of capital. High ROE companies have a robust business model, which generates increased earnings for the company typically. Step 5: Filter out all companies with PE ratio greater than 25 since they are too expensive even for a high-quality company. This enables us to pick companies which are relatively cheaper as against their actual value. He points out that applying these filters enables us to reduce and even eliminate a lot of fundamental risks while ensuring a robust business model, strong earning potential and a good buying price.
e-Healthify-COVID-19
App developed for Hack-the-Crisis India.
DaManagers
Parallax Hack