ARIS ⚔️ (Auto-Research-In-Sleep) — Claude Code skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation via Codex MCP

Code for the paper "2Mamba2Furious: Linear in complexity, competitive in accuracy"

Automated Framework for Evaluating Chain-of-Thought Reasoning in LLMs.

Hierarchical GNN for fake-news detection on NELA-GT-2022: multi-level graphs (word, sentence, article + metadata) + MLflow, baselines & explainability.

🦀 The transformer is a brilliant hack scaled past its limits. DREX is what comes next — tiered memory 🧠, sparse execution ⚡, and a learned controller that knows what to remember 💾✨

Benchmarking PEFT (LoRA vs adapters) for ECG segment classification using Wav2Vec2, HuBERT, and ECG-FM with full metric reporting and ablations.

Autonomous ML research agent skill (Agent Skills format). Designs experiments, deploys to Modal GPUs, tracks budget, iterates autonomously.

This is a comprehensive analysis of 5 HPO algorithms- General Algorithms (GA), Particle Swarm Optimization (PSO), (DE), PyHopper HPO, Bayesian Optimization and HyperBand Optimization (BOHB),

Causal analysis framework using Double Machine Learning to quantitatively isolate the effect of model size on deep learning performance while controlling for confounders such as dataset size, training time, and hyperparameters.

MemorySafe - 99.4% catastrophic forgetting reduction

A simplified three-phase research workflow for Claude Code: Discovery, Experiment, Paper

This repository presents four Capstone projects developed as part of the "the AI Engineer" program

Julia implementation of ST-ProtoPNet for interpretable classification with support and trivial prototypes. Built on Flux.jl with custom losses, data prep tools, and 2D visualization.

A community-driven skills marketplace for AI-assisted research. 74 modular AI workflows for ML research: paper writing, citation verification, adversarial review, proof auditing, and more. Claude Code plugin with cross-platform support.

Traffic Flow Prediction in Urban Areas

Reinforcement Learning–based pseudo-labeling framework for semi-supervised learning, optimizing label selection using Q-learning and reward-driven feedback.

A curated collection of key research papers and resources on LLMs and deep learning, organized by topic to provide a clear learning path from fundamentals to advanced techniques.

Enhance research paper writing by organizing workflows, improving structure, and supporting self-review for clear, logical, and well-aligned content.

A real-time image captioning and visual question answering (VQA) system. This project uses computer vision and NLP to generate descriptive captions for images and answer user questions about them.

These are the Jupyter Notebooks from my research work with 1890 Research at South Carolina State University. I focus on Analyzing the Impact of Outliers on Crop Yield Prediction using Regression Models.