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

Hello, humans (and bots who passed the CAPTCHA)! πŸ‘‹ 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!

minopeef's Projects

allennlp icon allennlp

An open-source NLP research library, built on PyTorch.

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bert icon bert

TensorFlow code and pre-trained models for BERT

cntk icon cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

faiss icon faiss

A library for efficient similarity search and clustering of dense vectors.

fastai icon fastai

The fastai deep learning library

gitlogviz icon gitlogviz

GitLogViz is a tool for visualizing the Git log in a graph. It provides a simple and interactive way to explore the commit history of a Git repository.

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym-log icon gym-log

Workout tracker built with Django & React

incubator-mxnet icon incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

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