rish59p Goto Github PK

ai-nlp-for-esg

Exploring novel NLP (and Artificial Intelligence) Techniques for a better ESG (methodology and) score computation. Aiming for a low-bias data driven framework.

arma-modelling-of-bitcoin-exchange-rates

budgetplanner

causal-inference-analysis-on-causal-effects-of-sleep-on-stress-levels

This research aims to statistically analyse the causal effects of sleep quality on their stress Levels. Performed a covariate analysis based on the DAG and did a propensity score matching to analyse the causal effects of the treatment, sleep here on the outcome, Stress Levels.

convex-hull-algorithms-visualisation

Visualized the Jarvis March and Kirkpatrick-Seidel algorithms, both convex hull algorithms, using a React app and D3.js. This project showcases the step-by-step construction of convex hulls, providing an interactive and educational experience.

course-time-clash-checker

A shell based Python Script to check time clashes of your desired courses with your CDCs.

crux-ml-summer-group-2022

Resources for the machine learning track in the cruX Summer Group 2022

custom-bot-trained-on-custom-data-impersonating-kanye-west-text-image-audio-response-

Created a custom bot trained on data taken from reddit comments to create embeddings to mimic sarcastic and slightly offensive behaviour. The user enters any general text and the bot will respond accordingly with text reply, an image reply of it's thought process and generate a song as a reply. Used GoogleGeminiPro, OpenDalleV1.1 and sunoBark-Small

deep-learning-aided-statistical-arbritrage-stratergy

This project develops a pairs trading strategy for the Automobile and Heavy Industries sectors. Using PCA for market indicators and the OPTICS algorithm for clustering, we identify potential pairs. Statistical tests, including cointegration and the Hurst exponent, are used to find mean-reverting pairs and using long/short position on the deviations

github-slideshow

A robot powered training repository :robot:

hmm-infused-cusotm-stacked-rnn-for-cvar-analysis

This repository contains the code implementation and detailed explanation for a custom machine learning model that combines the power of Hidden Markov Models (HMMs) and Recurrent Neural Networks (RNNs) to provide more reliable volatility forecasts to forecast Conditional Value at Risk (CVaR) for credit spreads.

implementing-ml-models-from-scratch-for-multi-class-classification-and-regression

Implemented ML models like XGBoost, Fischers LDA, AdaBoost, SVM(multiclass), Decision Tree from scratch (without any libraries) and used them to train on Carbon Emissions dataset and Crime Rate dataset.

pascal-compiler-using-lex-yacc

Developed a compiler for a subset of the PASCAL programming language, supporting integer constants, keywords, variables, expressions, assignments, conditional statements, loops, arrays, single-line comments, and read/write statements. This project involves lexical analysis, syntax analysis, semantic analysis, and code generation using LEX and YACC.

pascal-compiler-using-lex-yacc-lexical-syntax-semantic-analysis-and-3ac-code-generation

Developed a compiler for a subset of the PASCAL programming language, supporting integer constants, keywords, variables, expressions, assignments, conditional statements, loops, arrays, single-line comments, and read/write statements. This project involves lexical analysis, syntax analysis, semantic analysis, and code generation using LEX and YACC.

posixcompliantmultipleserverclientdatabasesystem

Simulating an application for a distributed graph database system involving a load balancer process, a primary server process, two secondary server processes (secondary server 1 and secondary server 2), a cleanup process and several clients.

predicting-financial-outcomes-of-companies-through-10-k-reports-and-balance-sheets

Building and deploying a model that could crunch down the financial record data of companies to predict their market cap. Built up a model and selected essential feature variables on a custom dataset.

propertystack

propositional-logic-proof-checker

CPP code solution to check whether a given propositional logic proof is valid

quant-finance-codebook

Implemented Markowitz model and optimized using gradient Descent and Particle Swarm Optimization. Impolemented the Black Scholes Merton Model Option Pricer using Monte Carlo Simulations for European Options.

vector-autoregressive-modelling-of-interest-rates-inflation-and-equity-market

Modelled the Interest Rates, CPI, and Sensex50 using Vector Auto Regressive methods and estabilished Granger Causality along with Variance Decomposition and impulse Response functions, used filters for seasonality adjustments