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@RISTEK-Data-Science-Analytics @Three-Layers @PBP-D05 @TK-Advance-Programming-A7 @BasdatKel12 @YouthCatalyst @ctrlcsui

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eryawww/README.md

πŸ’« About Me

Components of me:
πŸ“š ML Researcher, Passionate about reading, implementing, and contributing to cutting-edge machine learning research.
βš™οΈ Engineer, Dedicated to crafting elegant efficient implementations, writing clean code, and refining software design patterns.
✍️ Writer, Finds joy in reflecting on philosophy and mathematics through thoughtful blogs at eryawww.github.io/blog.
🧭 Pragmatic, Enjoys diving into diverse pragmatic domain knowledge and has experience creating exceptional algorithms across various fields including finance, marketing, law, and earth science.

Interested Subfields:
🌍 Foundational Models, Exploring large-scale models that serve as general-purpose abstractions of the world, enabling transfer learning and cross-domain reasoning.
πŸŒ€ Representation Learning, Investigating methods to learn precise, interpretable, and manipulable vector representations that capture the essence of physical and cognitive phenomena.
πŸ€– Agentic AI and Autonomous Systems, Designing AI agents capable of leveraging abstract representations to reason, plan, and act autonomously in complex environments.

🌠 Mission:
Pushing the boundaries of human intelligence by engineering superhuman-level AI into reality β€” transforming visionary ideas into disruptive technologies that elevate mankind.

🌐 Socials

Feel free to reach me out on: LinkedIn Instagram

πŸ’» Tech Stack

πŸ“œ Languages

Python TypeScript Bash Script

πŸ› οΈ Hacking. These are the libraries I actively delve into, capable of modifying the codebase

PyTorch Transformers TRL Gymnasium Stable-Baselines3

⚑ Using. These are the tools and libraries I regularly utilize in my projects

Pandas NumPy SciPy Seaborn Matplotlib scikit-learn Datasets TensorFlow OpenCV Requests Poetry Selenium LaTeX Django FastAPI Git


Pinned Loading

  1. FlappyAI FlappyAI Public

    Flappy bird automation using Neuroevolution of Augmenting Topologies (NEAT) in Python

    Python 2 1

  2. adversarial_attacking_mnist adversarial_attacking_mnist Public

    Generating adversarial example for MNIST digit classification using both supervised and unsupervised approaches. Using sigmoid adam optimization to maximize the network error. Implementation of "In…

    Jupyter Notebook

  3. Gymformer Gymformer Public

    Gymformer is a PyTorch framework for training Transformer agents in Gymnasium environments in a modular customizable way.

    Python 1

  4. miss_scraper miss_scraper Public

    JavaScript