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— René Descartes

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Free Problems
Chapter 1 (EOASET)
This problem set covers key concepts from Chapter 1 (EOASET) about EduCoder, an open-source annotation system designed specifically for educational dialogue transcripts. The problems test understanding of the system's design principles, features, challenges in educational annotation, and comparisons with existing tools.
22 pts Medium 104 educational-annotation system-purpose domain-specialization +7
Chapter 1 (AMFOEP)
This problem set covers the AutoOEP (Automated Online Exam Proctoring) framework introduced in Chapter 1. The problems test understanding of the multi-modal architecture, computer vision techniques, machine learning models, and experimental results presented in the chapter. Questions progress from basic concepts to advanced analytical reasoning about the system design and performance.
30 pts Medium 96 system-architecture camera-setup multi-modal +7
Chapter 1 (RDDELS)
This problem set covers key concepts from Chapter 1 (RDDELS) focusing on the ReelsEd system, LLM-generated educational content, microlearning, and the empirical findings from the user study comparing traditional long-form videos with AI-generated short-form videos.
28 pts Medium 100 reelsed-system microlearning ai-education +7
Chapter 1 (MSEVCP)
This problem set covers key concepts from Chapter 1 (MSEVCP) about using Manim for STEM education visualization. The problems test understanding of Manim's capabilities, implementation process, educational benefits, and applications across different STEM disciplines.
12 pts Easy 105 manim-basics educational-technology python-programming +7
Chapter 2 (CCPEVG)
This problem set covers key concepts from Chapter 2 (CCPEVG) focusing on educational video generation, evaluation methodologies, and the Code2Video pipeline. The problems test understanding of selective unlearning protocols, TeachQuiz evaluation, visual anchor systems, and comparative analysis between different video generation approaches.
25 pts Hard 100 teachquiz evaluation-metrics educational-effectiveness +7
Chapter 1 (CCPEVG)
This problem set covers the key concepts from Chapter 1 (CCPEVG) on Code2Video, a code-centric paradigm for educational video generation. The problems test understanding of the three-agent framework (Planner, Coder, Critic), the MMMC benchmark, evaluation metrics including TeachQuiz, and the advantages of code-centric approaches over pixel-based methods for educational content creation.
32 pts Medium 98 code2video agents framework +7
Premium Problems
Python I/O and Data Pipeline Assessment - Part 4
20 questions focused on PyTorch Dataset/DataLoader design: map/iterable datasets, transforms, custom collate/padding, worker seeding/sharding, num_workers/pin_memory/prefetch_factor, caching, memmap/shared memory, batching by size, profiling, and performance tuning.
10.00 60 pts Medium 98 torch.utils.data.dataset pytorch dataset +7
Chapter 02 - Numeric Python
This problem set covers key concepts from Chapter 2: Vectors, Matrices, and Multidimensional Arrays. The problems test understanding of NumPy array fundamentals, including array creation, indexing, slicing, operations, and vectorized computing. Each question is designed to reinforce the core concepts presented in the chapter.
5.00 26 pts Medium 97 numpy-arrays array-attributes shape +7
USAAIO 2025 R1P3 - Logistic Regression Implementation
This problem focuses on implementing logistic regression from scratch using the Titanic dataset. You will work through data pre-processing, mathematical derivations, and implement both gradient descent and Newton's method for logistic regression. The dataset contains passenger information from the Titanic, and your goal is to predict survival based on various features.
10.00 48 pts Easy 93 data-loading pandas data-exploration +7
USAAIO 2025 R1P2 - Basics of Neural Network - From Linear Regression to DNN Training
This problem is about the basics of neural network. Each part has its particular purpose to intentionally test you something. Do not attempt to find a shortcut to circumvent the rule. And all coding tasks shall run on CPUs, **not GPUs**.
10.00 36 pts Easy 96 learning-rate-scheduler pytorch optimization +12
USAAIO 2025 R1P1 - Fibonacci Matrix Form
Let us consider the following sequence: $$ F_n = F_{n-1} + F_{n-2},\ \forall\ n \ge 2. $$
8.00 27 pts Medium 96 fibonacci sequence linear algebra matrix form +7
IAIO 2024 Part 2 - Machine Learning Algorithms and Deep Learning
This problem covers the remaining categories of the 2024 International Artificial Intelligence Olympiad (IAIO), focusing on machine learning algorithms and deep learning. You'll work through practical implementations of k-means clustering, deep learning architectures, and advanced machine learning theory including kernel methods and the Perceptron algorithm. The problems cover: - K-means clustering algorithm implementation and convergence - Deep learning architectures (DALL-E, Transformers) - Perceptron algorithm and kernel methods - Mathematical proofs and theoretical analysis - Parameter counting and computational complexity
10.00 44 pts Hard 99 k-means clustering euclidean distance machine learning +7

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Featured PDFs

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Cover of System Design Interview: An Insider's Guide Volume 2
System Design Interview: An Insider's Guide Volume 2
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Cover of UNICALLI: A UNIFIED DIFFUSION FRAMEWORK FOR COLUMN-LEVEL GENERATION AND RECOGNITION OF CHINESE CALLIGRAPHY
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Featured Books

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Hands-On Machine Learning with Scikit-Learn and PyTorch
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Deep Reinforcement Learning Hands-On - Third Edition
222 questions 720 pts

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Attention in transformers, step-by-step | Deep Learning Chapter 6
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Cover of Knowledge Distillation: How LLMs train each other
Knowledge Distillation: How LLMs train each other
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Diffusion Model
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Popular Topics

machine learning 56 deep learning 40 neural networks 35 reinforcement learning 33 system-design 28 grade5 27 optimization 14 large language models 13 attention mechanisms 13 combinatorics 13 system-architecture 13 natural language processing 12 aime problems 12 Number Sense 12 scalability 11 beginner 10 number theory 10 performance 10 transformers 9 capacity-planning 9
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