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I have used QLoRA under PEFT to finetune this Llama 3 8B model. This model has finetuned on Lk Cabinet Decision English dataset.

Apache License 2.0

Fine_tune_Llama3_Cabinet_decision_dataset

https://api.github.com/repos/rusiru-erandaka/Implemented_RAG_GeminiAPI_Pinecone/contents/{+path}

This RAG pipeline has developed using Gemini API and Pinecone as the Vector database. here for testing purposes i have used some research papers which are rare to find details from google.

MIT License

Implemented_RAG_GeminiAPI_Pinecone

https://api.github.com/repos/rusiru-erandaka/statewide-geotechnical_construction-site/contents/{+path}

This is a static website using React js + Vite + Tailwind for "Statewide Geotechnical" company.

statewide-geotechnical_construction-site

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In this repository I have worked on Pupil Diameter Time series Dataset. here I have worked on data sampling, Blink detection and Noise Handling,  Stimulus Onset Alignment & Ensemble Averaging, Baseline correction, Feature Extraction and finally create a Patient classification ML pipeliner

pupil-dilation-signal-classification-pipeline-with-noise-filtering-feature-extraction

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rusiru-erandaka

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GitHub

rusiru-erandaka

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