Code for the paper "2Mamba2Furious: Linear in complexity, competitive in accuracy"
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Feb 23, 2026 - Jupyter Notebook
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ml-research
Here are 17 public repositories matching this topic...
Automated Framework for Evaluating Chain-of-Thought Reasoning in LLMs.
evaluation-framework adversarial-machine-learning chainofthought ml-research reasoning-language-models
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Jan 2, 2026 - Python
Hierarchical GNN for fake-news detection on NELA-GT-2022: multi-level graphs (word, sentence, article + metadata) + MLflow, baselines & explainability.
natural-language-processing deep-learning text-classification pytorch news-analysis pytorch-geometric graph-neural-network heterogeneous-graph fake-news-detection ml-research
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Dec 6, 2025 - Python
Benchmarking PEFT (LoRA vs adapters) for ECG segment classification using Wav2Vec2, HuBERT, and ECG-FM with full metric reporting and ablations.
time-series transformers pytorch ecg adapters transfer-learning lora binary-classification peft biomedical-signal-processing hubert wav2vec2 foundation-models ml-research
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Mar 9, 2026 - Jupyter Notebook
🦀 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 💾✨
rust cuda memory-efficient candle external-memory incremental-learning cognitive-architecture continual-learning catastrophic-forgetting episodic-memory inference-efficiency neural-architecture sparse-attention llm long-context tiered-memory ml-research memory-augmented transformer-alternative beyond-transformer
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Mar 9, 2026 - Python
Autonomous ML research agent skill (Agent Skills format). Designs experiments, deploys to Modal GPUs, tracks budget, iterates autonomously.
machine-learning modal cli-tool experiment-tracking autonomous-agent ai-agent gpu-compute ml-research agent-skills claude-code
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Mar 10, 2026 - Python
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),
machine-learning ai deep-learning genetic-algorithm jupyter-notebook neural-networks differential-evolution bayesian-optimization hyperparameter-tuning pso ml-research pyhopper
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Jun 19, 2025 - Jupyter Notebook
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.
docker deep-learning pytorch neural-networks causal-inference python-package cli-tool ml-engineering model-performance double-machine-learning model-benchmarking scaling-laws econml ml-research causal-ml
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Feb 14, 2026 - Python
MemorySafe - 99.4% catastrophic forgetting reduction
machine-learning ai deep-learning replay memory-systems continual-learning catastrophic-forgetting ml-research
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Feb 19, 2026 - Python
A simplified three-phase research workflow for Claude Code: Discovery, Experiment, Paper
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Feb 26, 2026 - JavaScript
This repository presents four Capstone projects developed as part of the "the AI Engineer" program
machine-learning deep-learning optimization transformers pytorch artificial-intelligence neural-networks language-model attention-mechanism backpropagation ai-agents ai-engineering model-context-protocol ml-research
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Jan 31, 2026 - Jupyter Notebook
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.
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Nov 3, 2025 - Julia
Traffic Flow Prediction in Urban Areas
data-science machine-learning neural-network supervised-learning bengaluru decision-tree smart-city traffic-prediction ml-research
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Oct 15, 2025 - Jupyter Notebook
Reinforcement Learning–based pseudo-labeling framework for semi-supervised learning, optimizing label selection using Q-learning and reward-driven feedback.
machine-learning reinforcement-learning ai q-learning semi-supervised-learning pseudolabelling ml-research
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Feb 23, 2026 - BibTeX Style
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.
nlp machine-learning ai deep-learning transformers neural-networks ai-research paper-list research-papers large-language-models ml-roadmap llms ml-research
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Aug 7, 2025
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.
nlp computer-vision deep-learning cnn pytorch transformer video-processing openai vqa image-captioning object-detection attention-model visual-question-answering ai-project caption-generation vision-language hugging-face real-time-interference ml-research multimodel-ai
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Nov 26, 2025 - Python
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.
python data-science machine-learning artificial-intelligence data-analysis regression-models ai-research undergraduate-research student-research ml-research student-researcher
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Jul 9, 2025 - Jupyter Notebook
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