🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

Code for paper: "Road object detection: a comparative study of deep learning-based algorithms" https://link.springer.com/article/10.1007/s11042-022-12447-5

Predicting Usefulness of Code Review Comments using Textual Features and Developer Experience

Sequential Trial Emulation

Behavioural and Neural Mechanisms of Memory Replay in Monkeys

Comparitive Study based on the accuracies

This project explores the formation of fetal ovarian reserve using comparative histology-derived metadata across mammalian species. Through structured exploratory analysis and visualization, it highlights species-specific developmental patterns while serving as a reproducible biological data science workflow that can be built upon.

A comparative study of programming paradigms featuring implementations in Java, Python, SML, and Prolog.

🔬 Comprehensive Multi-Model Analysis of AI-Driven Debugging Prompts | 13 AI Models Evaluated | Cross-Tier Evaluation Capability Discovered | MIT Licensed Academic Research | v0.1.0

Empirical comparison of Tabular Q-Learning, Double DQN and PPO on stochastic FrozenLake-v1 convergence analysis, sample efficiency benchmarking and animated policy visualisation

Digitaler Assistent für die typologische Systematisierung des Märchens

Künstlicher Assistent für die inhaltliche Annotation des Märchens

SynthTabularDataGeneration-IR is a research-oriented repository for evaluating synthetic data generation techniques tailored to imbalanced regression tasks over tabular datasets. It includes various oversampling strategies, learner models, custom metrics, and statistical analysis tools to benchmark performance across multiple datasets.

Paper's code of "How Effective Are Time Series Foundation Models for Epidemiological Data Analysis?"

Comparative study of Dense and Bidirectional GRU models for multiclass Twitter sentiment analysis.

Comparative study of Mealy vs Moore FSM architectures in Verilog - Multi-item vending machine controller with timing analysis, and power metrics (79-81.5MHz on Artix-7)

A comparative study of `cognitivefactory/interactive-clustering` package on NLP datasets.

Comparison of protein structure prediction methods: Rosetta Ab Initio, which uses fragment assembly, Monte Carlo optimization and energy minimization, and a Linear Algebra Algorithm based on Cayley-Menger matrices.

Framework for offensive-Language-Detection using Transformer and BiLSTM using two bench mark dataset - OLID and HateXplain.

Benchmarking multiple ML models in combination with diverse NLP approaches for Twitter sentiment analysis