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Goekdeniz-Guelmez/README.md

Hello, I'm Gökdeniz Gülmez 👋

🚀 About Me

Hi there, I'm Gökdeniz Gülmez. A passionate AI & ML researcher in my free time and a skilled ML engineer at work. I'm a contributer for mlx-examples. I Added support for MiniCPM, Mamba version 1 (version 2 is comming) and support for full-fine-tuning, and wil go on.

📚 My Projects

Here you'll find a variety of projects showcasing my journey in AI and ML. From beginner's experiments to sophisticated models.

🎯 My Interests

  • 🤖 Artificial Intelligence.
  • 🧠 Machine and Deep Learning.
  • 🎵 Violin - Currently practicing Niccolò Paganini, bach and more.
  • 🖌️ Occasionally, I dabble in painting.
  • 📺 Avid anime fan, always ready for a good series recommendation.

🌱 I’m currently perfecting...

  • Autonomous Smart home automation using Real-Time, Multi-Modal Model. capable text-audio-vision to text-audio (Project J.O.S.I.E.v4o).

Github Stats



Gökdeniz Gülmez's github activity graph



Gökdeniz Gülmez






My private goal is to create J.O.S.I.E.

My own private smart home management MLLM Assistant that can...

  • Autonomously control and manage my Smart home with sensors, cameras, LEDs, and all the other products.
  • Tool calling capabilies.
  • Raw audio input with normal user(s) speech and other sounds like (fire, etc.).
  • Capable of understanding videos and images (e.g. security cameras).
  • Capable of outputting natural assistant audio speech and Text (like GPT4-o).
  • Can be Real-Time and Text only like GPT4-o.
  • Updating itself Autonomously.
  • Having a long-/short-term Memory, and even updating it autonimously.
  • Real-Time-full-duplex-Multi-Modal-Model
  • Starting a conversation by itself (She donsn't need special user and assistant turns).
  • And much more...]

🏆 Certifications

  • Introduction to Deep Learning & Neural Networks with Keras
  • Deep Neural Networks with PyTorch
  • Introduction to Computer Vision and Image Processing
  • Building Deep Learning Models with TensorFlow
  • AI Capstone Project with Deep Learning
  • Machine Learning with Python
  • Computer Science: Algorithms, Theory, and Machines
  • Linear Algebra for Machine Learning and Data Science
  • Probability & Statistics for Machine Learning & Data Science
  • Unsupervised Learning, Recommenders, Reinforcement Learning
  • Advanced Learning Algorithms
  • Supervised Machine Learning: Regression and Classification
  • CompTIA A+ ... 30 others, and counting.

🏆 Certifications I'm completing

  • Microsoft Certified: Azure AI Engineer Associate

Let's Connect!


⭐️ From Gökdeniz Gülmez

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  1. mlx-examples mlx-examples Public

    Forked from ml-explore/mlx-examples

    Examples in the MLX framework

    Python 5

  2. J.O.S.I.E.-v4o J.O.S.I.E.-v4o Public

    Python 6

  3. KANama KANama Public

    Llama3.1 x Kolmogorov–Arnold Networks

    Python 4

  4. mlx-kan mlx-kan Public

    KAN (Kolmogorov–Arnold Networks) in the MLX framework for Apple Silicon

    Python 7 3

  5. OpenAudioAPI OpenAudioAPI Public

    This is a local API for TTS and STT using the latest Models and frameworks including MLX, in the OpenAI API format

    Python

  6. Local-NotebookLM Local-NotebookLM Public

    Googles NotebookLM but local

    Python