Welcome to the Resources Page! Here, you’ll find essential tools, guides, and links to help you succeed in the US Applied AI Olympiad. Whether you’re new to AI or an experienced coder, these resources will equip you to tackle the challenge head-on.
Essential Tools
- Google Colab
Cloud-based notebook environment with free GPU support.
Google Colab - Anaconda
Python and R distribution for scientific computing and data science.
Download Anaconda - PyCharm (Community Edition)
A free Python IDE for writing and debugging code.
Download PyCharm - Hugging Face
Open-source models and tools for natural language processing and machine learning.
Hugging Face - TensorFlow
Open-source platform for building and deploying machine learning models.
TensorFlow Resources - Kaggle
Datasets, competitions, and community for data science projects.
Kaggle
Datasets and Challenge Files
All challenge-specific datasets and resources will be available on the UUS Applied AI Olympiad Portal during the competition period.
Ensure you download the provided dataset files, such as images.npy and Labels.csv, for seamless participation.
Learning Resources
- Fast.ai Courses
Free deep learning courses for beginners and advanced learners.
Fast.ai - AI and Machine Learning Tutorials
Learn the basics of machine learning, deep learning, and CNNs.
Google AI Education - Python Basics
Brush up on Python essentials for AI programming.
Python Documentation - CNN Fundamentals
Understand the basics of convolutional neural networks (CNNs).
CS231n: CNNs for Visual Recognition
