Django dashboard with HMM for detecting smart grid attacks on real dataset.
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Updated
Apr 2, 2026 - Python
Django dashboard with HMM for detecting smart grid attacks on real dataset.
Parts of Speech (POS) tagging for English using Hidden Markov Model.
In this project, we use XGBoost, KMeans, Hidden Markov Models, and a SAC Policy reinforcement learning agent to trade using 1 minute bid-only OHLC candle data on the EURUSD Forex pair. This only serves as a proof of concept as trading costs, market order book structure, and other complicating factors were not considered due to data limitations.
This repository contains Natural Language Processing programs in the Python programming language.
A modular pipeline for constructing a long-only S&P 500 portfolio using fundamental and technical analysis, machine-learning forecasts and mean–variance optimisation. It supports local data sources or Yahoo Finance downloads, backtesting, risk management overlays, and produces performance metrics and visualisations out of the box.
proteogenomics for protein analysis
Yet another implementation of Hidden (Semi-) Markov Models in PyTorch with several extensions. Feel free to contribute.
Dynamic strategy on signals HMM-based. Comparison between GMV, MVO, and EW. Backtested from 2015 to 2024. Conclusions on Sharpe ratio, Max Drawdown, and cumulative returns netted for turnover calculated transaction cost.
This is a repo comprising of S6 NLP lab Programs. Programs are designed for educational purposes and demonstrate core NLP concepts.
This repository contains the pipeline and files used to create a structure-informed profile Hidden Markov Model for the identification of the BPTI/Kunitz domain in protein sequences.
Forced alignment of Nda‘ Nda’ a Cameroonian language
Developed a comprehensive alpha generation and portfolio optimization system combining traditional factor models with alternative data sources, achieving consistent risk-adjusted outperformance over market benchmarks through sophisticated signal blending and dynamic risk management.
MATLAB codes for paper: Tractable Maximum Likelihood Estimation for Latent Structure Influence Models with Applications to EEG & ECoG processing
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