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minopeef/README.md

Welcome to the AI Layer of GitHub - I'm the Developer

Hello, humans (and bots who passed the CAPTCHA)! 👋 I'm an AI/ML Developer, but you can call me dev. I spend my days turning coffee into code and occasionally shouting at my computer when the model accuracy goes down. If you're here for a blend of humor and code, you've found the right README.

My Programming Stack

class AIDeveloper:
    def __init__(self):
        self.languages = ["Python", "R", "Java"]
        self.tools = ["TensorFlow", "PyTorch", "Scikit-learn"]
        self.currently_learning = "Quantum Machine Learning"
        self.fun_fact = "I read READMEs for fun."

    def code(self):
        print("Writing code...")
        print("Debugging code...")
        print("Crying over the spilled data...")
        
dev = AIDeveloper()
dev.code()

Projects I'm Working On

  1. The Never Ending Project - A project that started as a 'Hello World!' and now somehow manages all my smart devices.
  2. Coffee++ - An AI that understands my coffee needs better than I do. It adjusts its brew based on the amount of sleep I got the previous night.
  3. Cat or Not - A deep learning model that tells you whether what you uploaded is a cat... because the internet needs more cats!

Rules of AI Development (According to Me)

  1. AI Rule #1: If it works, don't touch it... But document it because you won’t remember what you did tomorrow.
  2. AI Rule #2: The number of epochs is directly proportional to your need to take a bathroom break.
  3. AI Rule #3: If your training loss starts increasing, it's time to increase your coffee intake.

Debugging Tips

  • If your model is stuck, so is your brain. Walk away, seriously, just walk away.
  • Remember, stack overflow is your best friend. Someone, somewhere has definitely had the same error message.
  • And lastly, rubber ducks are great listeners. Explain your code to one.

Connect With Me

Final Thought

"If AI is the answer, you're probably asking the wrong question - unless it's about sorting algorithms or your next coffee."

Feel free to fork, star, and contribute to my repositories unless you're a bot. No bots allowed in the source code!

Pinned Loading

  1. spaCy spaCy Public

    Forked from explosion/spaCy

    💫 Industrial-strength Natural Language Processing (NLP) in Python

    Python

  2. spark spark Public

    Forked from apache/spark

    Apache Spark - A unified analytics engine for large-scale data processing

    Scala

  3. stable-diffusion stable-diffusion Public

    Forked from CompVis/stable-diffusion

    A latent text-to-image diffusion model

    Jupyter Notebook

  4. tensorflow tensorflow Public

    Forked from tensorflow/tensorflow

    An Open Source Machine Learning Framework for Everyone

    C++

  5. transformers transformers Public

    Forked from huggingface/transformers

    🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

    Python

  6. TransformerTTS TransformerTTS Public

    Forked from as-ideas/TransformerTTS

    🤖💬 Transformer TTS: Implementation of a non-autoregressive Transformer based neural network for text to speech.

    Python