Yash Mehta's repositories
BlackScholes
Black-Scholes Pricing Model: An intuitive and sophisticated tool for accurately calculating European option prices. Leverage the mathematical elegance of the Black-Scholes formula to explore how varying market conditions impact option pricing with real-time interactive visualizations.
CDS_Streamlit
Streamlit Repository for 50.038 CDS Project
50.039-DeepLearning
50.039 Deep Learning Project
CDS-Project
Group 19 Computational Data Science Project
Quant
Resources for quantitative finance
VaRCalculator
VaR (Value-at-Risk) Calculator: An elegant tool designed to compute Value-at-Risk using three robust methods - Parametric, Historical, and Monte Carlo Simulation. Dive into the intricacies of risk management with precision and confidence.
Trading-Interview-Questions
Guide on how to prepare for quant trading roles out of college
langchain_debug
Source code to replicate store_nodes_override attribute issue of VectorStoreIndex
generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
python-samples
🐍 Python samples for Google Workspace APIs
llama_index
LlamaIndex (formerly GPT Index) is a data framework for your LLM applications
MemoryBot
A chatbot 🤖 which remembers 🧠 using 🦜 LangChain 🔗 OpenAI | Streamlit | DataButton
streamlit-cheat-sheet
A cheat sheet for streamlit
knowledge_gpt
Accurate answers and instant citations for your documents.
pdfplumber
Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.
Streamlit-Authenticator
A secure authentication module to validate user credentials in a Streamlit application.
camelot
Modified version of https://github.com/camelot-dev/camelot
qf-lib
Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.
awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
pyfolio-reloaded
Portfolio and risk analytics in Python
Kristal.AI
Kristal.AI assignment
QuantResearch
Quantitative analysis, strategies and backtests
cqf
The CQF resources and my learning records
Advanced_Trading
This repository offers a curated collection of research papers and code examples covering advanced trading strategies and financial engineering, including quantitative and algorithmic trading. It serves as a comprehensive resource for industry professionals and enthusiasts alike, helping them stay ahead of the curve in this rapidly-evolving field.
Best-websites-a-programmer-should-visit
:link: Some useful websites for programmers.
awesome-streamlit
The purpose of this project is to share knowledge on how awesome Streamlit is and can be