MiniGPT-M4
A compact language-model study exposing Transformer internals through a custom BPE tokenizer, PyTorch components and local Apple Silicon training experiments.
RESEARCH / EXPERIMENTS / COMPETITIONS
Model architectures, data preparation, scientific research tools and competition experiments. Outcomes are presented alongside the conditions and limitations behind them.
The Tanita and OSAS work is connected through document extraction, data preparation and tabular modeling, while retaining separate processing workflows. The EEG/ALS toolkit addresses signal streams and experimental communication research. Patient records, EEG recordings and unauthorized datasets are not included on this site.
A compact language-model study exposing Transformer internals through a custom BPE tokenizer, PyTorch components and local Apple Silicon training experiments.
A modular prototype organizing authorized open-source investigations through plugin scans, persistent jobs, an API, live progress and optional worker processes.
Private document-processing prototype exploring local PDF-to-table extraction through batch processing and a desktop interface, with explicit privacy boundaries.
Private research toolkit exploring EEG, signal features and classical machine learning through desktop, offline and local web components.
Private logistic-regression research experiment exploring binary classification, ROC visualization and explicit input validation for tabular data.
A competition archive combining time-window customer features, boosting models, ensemble blending and Optuna experiments for customer-behavior modeling.
A research collection exploring noisy Turkish-address normalization and task-specific label prediction through text methods, vector retrieval and geographic approaches.
Trendyol Hackathon work represented among competition experiences, without extending the supplied technical scope, team role or outcome details.
A source-cataloged archive of 33 independent notebooks exploring machine-learning ideas across image, text, audio and tabular data tasks.
Notebooks in AI-Projects and the Turkish address experiments remain sub-studies within their parent collections. The same work is not counted as a separate achievement on different pages. Participation does not imply a verified ranking or award, and unrecorded performance figures are not added.