Lucky Verma

mwb-linux. Mouse Without Borders for Linux bidirectional keyboard, mouse & clipboard sharing with Windows

Document-Classification-using-LayoutLM. This PyTorch implementation of LayoutLM paper by Microsoft demonstrate the SequenceClassfication task using HuggingFaceTransformers to classify types of Documents.

US-Driver-License-data-extraction. Multi-approach ML pipeline for driver license data extraction using YOLO and OCR

Sleep-Awake-Classifiation-using-PPG. PyTorch implementation of sleep-stage classifier using photoplethysmography (PPG) data.

ABP-estimation-using-PPG. PyTorch implementation of Estimating Arterial blood pressure (ABP) using Photoplethysmogram (PPG) signals.

SaastIE. Document understanding system using Donut transformer architecture

Invoice-Data-Extraction. This Pytorch implementation of Invoice Information extraction(IE) extracts important Information like Company Details, Table, Total, Due date & Tax.

CAP-using-EEG. Cyclic Alternating Pattern (CAP) determination using EEG signals. CAP is activity occurring during NREM sleep, and abnormal amounts of CAP are associated with a variety of sleep-related disorders.

awesome-creator-tools. A curated list of awesome tools for content creators, YouTubers, streamers, podcasters, and digital entrepreneurs.

information-retrieval. RAG pipeline for AWS case studies: vector search, rerank, synthetic QA, fine-tuned LLaMA 3 8B. ChromaDB, sentence-transformers, Unsloth/LoRA.

Linear_Algebra_With_Python. Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the most must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

LLM-Router. Multi-model LLM router: BART classifies queries → Mistral-7B specialists (sleep & car). FastAPI + Gradio.

Stock-Prediction-Models. Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Deep-Additive-Manufacturing. PyTorch PredNet/U-Net implementations for 3D printing deformation prediction