mnist-from-scratch-to-pytorch
MNIST handwritten digit recognition implemented progressively from manual NumPy neural networks to PyTorch and CNNs, reaching over 99% test accuracy.
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GITHUB · launched Sep 13, 2026 · 13 upvotes (top 59%) · 0 views
Niche: machine learning developer tools · 303 launches, 11 in the last 7 days ▼ -45% · Explore this niche →
Category and tags
- Education
- Dev tools
- Developer
- AI-native
- Hobby / open-source project
Visit website ↗ Source listing ↗
More like this: all 303 launches in machine learning developer tools →
Could you build this?
Yes Implementing standard MNIST neural networks in NumPy and PyTorch is a canonical textbook coding task that LLMs can generate accurately in minutes.
Competitors
Other products that read as similar to this one : 1899 launches clear the similarity bar, closest 8 shown.
Attention rank: #1092 of 1900 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 317 days after the earliest competitor.
- neural-network-digits · github · 2026-09-25 · 30 upvotes · similarity 0.67
- MNIST-Neural-Network-On-FPGA · github · 2026-10-13 · 17 upvotes · similarity 0.66
- Reimplementing PyTorch from scratch (MLP, CNN) to learn the internals · hn · 2026-02-03 · 5 upvotes · similarity 0.64
- EVA · github · 2026-10-06 · 10 upvotes · similarity 0.59
- NeuroFlow 55.8x video inference speedup for Vision Transformers PyTorch · hn · 2026-05-26 · 8 upvotes · similarity 0.58
- GlyphWeave · github · 2026-10-09 · 17 upvotes · similarity 0.58
- Deep-Learning-with-PyTorch · github · 2026-11-03 · 22 upvotes · similarity 0.56
- penmentor · github · 2026-10-17 · 77 upvotes · similarity 0.55
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