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1. Real-Time-Motion-Transfer-to-a-3D-Avatar Real-Time-Motion-Transfer-to-a-3D-Avatar Public

   Real-time human pose detection and motion transfer to 3D avatars using MediaPipe, DNN, and Three.js — supports webcam and video inputs with custom avatar integration.

   Python 19 7

2. Custom_LLM_DataGen_Template Custom_LLM_DataGen_Template Public

   🔧 Modular pipeline for generating high-quality, domain-specific datasets for LLM fine-tuning — from PDFs and web scraping to synthetic Q&A generation, quality filtering, and training-ready formatting.

   Python 2 1

3. Hav-Cocap Hav-Cocap Public

   Hav-Cocap: Hybrid Audio-Visual Compressed Video Captioning framework. Extends CoCap with an Audio Encoder and evaluated on the AVCaps dataset.

   Jupyter Notebook

4. Blaze2Cap_AI_Motioner Blaze2Cap_AI_Motioner Public

   3D Human Pose Estimation: BlazePose to TotalCapture Motion Dataset Pipeline with PyTorch DataLoader for motion capture research and machine learning

   Python 2

5. GPT_FROM_SCRATCH GPT_FROM_SCRATCH Public

   Minimal GPT implementation from scratch using PyTorch — trains a character-level transformer on the Tiny Shakespeare dataset to demonstrate core LLM concepts.

   Jupyter Notebook

6. MV_MAE MV_MAE Public

   MV-MAE is a hierarchical video model that leverages motion vectors and I-frames from compressed videos to efficiently learn masked motion representations for accurate UAV action recognition.

   Python