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🎯
In a Training Loop 🔄
🎯
In a Training Loop 🔄

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@SE-SaaS

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  1. SE-SaaS/Health-Navigator SE-SaaS/Health-Navigator Public

    Agentic personal medical assistant that reasons over medical data using multi-agent orchestration, with leveraging mutiple ML/DL pre-trained models, with addition to relational and vector databases.

    Jupyter Notebook 2

  2. sign-language-bridge sign-language-bridge Public

    Fine-tuning Qwen3-VL-2B-Instruct for continuous ASL→English translation, with multi-tier LoRA, staged OpenASL→How2Sign training, curriculum learning, and a MediaPipe preprocessing pipeline.

    Jupyter Notebook 3 1

  3. LLMs-from-scratch LLMs-from-scratch Public

    A from-scratch PyTorch implementation of Multiple LLMs including GPT-2, Llama3 trained on a small text data to demonstrate core architecture and training mechanics.

    Python 1

  4. chest-xray-bench chest-xray-bench Public

    A controlled comparison of 43 chest X-ray models on CheXpert: which design choices actually move scores, and which are just noise. Best ensemble reaches 0.9174 AUROC on test500.

    Jupyter Notebook 1

  5. road-object-detection road-object-detection Public

    Real-time road scene object detection using YOLO11 for autonomous driving perception. Includes training, evaluation, and inference pipelines with a focus on strong accuracy–speed balance and practi…

    Jupyter Notebook 2

  6. commit-message-llm commit-message-llm Public

    Fine-tuning Qwen2.5-Coder-0.5B LLM using QLoRA (4-bit quantization + LoRA) to generate clear, concise commit messages from Git diffs by learning to summarize code changes into human-like descriptions.

    Python 1