Implement classic papers from scratch
Pick any paper below and PaperNova generates a guided workbook: an outline, exercise-wise explanations from beginner to advanced, and a downloadable Jupyter notebook you can run locally.
Robust Speech Recognition via Large-Scale Weak Supervision
Alec Radford, Jong Wook Kim, Tao Xu, +3 more
Whisper. An encoder-decoder Transformer trained on 680k hours of multilingual weakly-supervised audio — near-human speech recognition, zero-shot.
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord, Sander Dieleman, Heiga Zen, +1 more
WaveNet. An autoregressive convolutional model over raw audio samples that lifted text-to-speech naturalness to near-human levels.
Why implement classic papers?
Reading a paper and implementing it are two very different skills. PaperNova's workbook tool bridges that gap: Gemini turns the paper into a sequence of small, self-contained exercises — from a warm-up reimplementation of the core idea up to advanced extensions — then assembles them into a Jupyter notebook you can run, edit and extend.
Prefer to work from your own paper? Upload a PDF and get the same guided workbook tailored to it.