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Report abuse| Project | Description | Stack |
|---|---|---|
| TDA Supply Chain | Real-time topological anomaly detection for global supply chains using persistent homology (H₀ H₁ H₂), Wasserstein distance scoring & CUSUM adaptive thresholding. FPR < 1%, detects port blockages, fraud rings & geopolitical shocks within 5 min. | Python · FastAPI · Docker · TDA |
| Actor-Critic + PPO Trainer | Policy optimisation and reward convergence experiments with modular RL training loops | PyTorch · RL |
| Glaucoma Detection DCNN | CNN-based retinal image classification for early glaucoma detection from fundus images | TensorFlow · Medical AI |
| Crypto Benchmarks | Performance analysis of crypto assets — regression, PCA & clustering on financial time-series | Pandas · Scikit-learn |
| Leave-One-Out CV | Clean implementation of LOOCV and core model evaluation techniques | Python · Scikit-learn |
Languages Python · C · C++ ML/DL TensorFlow · PyTorch · Scikit-learn · Keras Data Pandas · NumPy · Jupyter · Matplotlib · Seaborn MLOps FastAPI · Docker · GitHub Actions Math Topological Data Analysis · Persistent Homology · Linear Algebra · etc
📧 chegenganga08@gmail.com · 🐙 github.com/Chege-N
Perpetually probing internals & shipping solutions that compress complexity into code.
Hyperdimensional Intrusion Detection System for Zero-Day Exploit detection in encrypted traffic using Conformal Geometric Algebra, online learning, and real-time anomaly scoring.
Python
Persistent homology pipeline for detecting neural correlates of consciousness from fMRI — H0/H1/H2, Wasserstein + Müller-Lyer timelines, HMM decoding, topological transfer entropy.
Python
real-time topological anomaly detection for global supply chains using persistent homology (H₀ H₁ H₂), Wasserstein distance scoring, and CUSUM adaptive thresholding. Detects port blockages, fraud r…
Python 2
This notebook builds a Glaucoma detection system using multiple deep learning approaches on a 1,190-image dataset (2 classes: Positive/Negative). Part 1 — Custom DCNN, Part 2 — Transfer Learning (R…
Jupyter Notebook 1
Hands-on reinforcement learning experiment: vanilla Actor‑Critic vs. PPO, with reward curves, stability metrics, and training loop diagnostics.
Jupyter Notebook 1
Quantitative comparison of crypto assets — risk, return, and volatility metrics with statistical summaries and time‑series visualizations.
Python
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