theorem.page

Turn Research Papers Into Working Experiments in Minutes

Read papers, take notes, run experiments with instant access to large compute. Stop wasting weeks on data curation, setup, and test experiments directly from the paper.

Minutes
vs
3 weeks

Trusted by 1,500+ students & researchers who turned papers into working code

Classic Paper → Working Code
📄 "ImageNet Classification with Deep CNNs" (AlexNet)
💡 "Help me understand these conv layers"
⚡ Building: alexnet_implementation.py
✅ 37 minutes: CNN fundamentals mastered
Cutting-Edge → Implementation
📄 "Pushing the limits of mathematical reasoning"
🤔 "How does this reasoning process work?"
⚡ Exploring: math_reasoning_demo.py
✅ 43 minutes: Advanced reasoning understood

Why Researchers Choose theorem.page

Stop wasting weeks on setup. Start understanding algorithms in minutes.

Speed

AlexNet implementation: 45 minutes vs 3 weeks

No more environment setup, dependency hell, or "works on my machine" problems. Read the paper, understand the concepts, run the code—all in one session.

Understanding

See DeepSeek R1's math reasoning in action

Don't just read about algorithms—build them. Watch attention mechanisms work, see how CNNs learn features, understand what makes transformers tick.

Zero Setup

Instant access to large compute, no installations

Skip the Docker containers, CUDA driver battles, and Python environment nightmares. If you can browse the web, you can implement cutting-edge research.