microgpt
A from-scratch, dependency-free GPT implementation in pure NumPy: byte-level tokenizer, multi-head self-attention, Adam trainer, and top-k sampler.
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GITHUB · launched Nov 5, 2026 · 51 upvotes (top 62%) · 0 views
Niche: transformer model development tools · 17 launches, 0 in the last 7 days · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- Developer
- AI-native
- Hobby / open-source project
- attention
- deep-learning
- from-scratch
- gpt
- language-model
- llm
- +4 more
Visit website ↗ Source listing ↗
More like this: all 17 launches in transformer model development tools →
Could you build this?
Yes This is a from-scratch educational GPT in NumPy with a byte-level tokenizer, attention, an Adam trainer and sampling. It is a well-documented architecture that an AI assistant can write and debug.
Competitors
Other products that read as similar to this one : 3393 launches clear the similarity bar, closest 8 shown.
Attention rank: #2026 of 3394 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 370 days after the earliest competitor.
- MicroGPT in 243 Lines · hn · 2026-02-13 · 10 upvotes · similarity 0.59
- dexgpt · github · 2026-09-09 · 26 upvotes · similarity 0.58
- i — An experimental tensor DSL/compiler with explicit scheduling · hn · 2026-06-02 · 5 upvotes · similarity 0.58
- gr8 · github · 2026-10-10 · 27 upvotes · similarity 0.57
- GitHub · hn · 2026-01-16 · 6 upvotes · similarity 0.57
- laya-apple · github · 2026-09-22 · 12 upvotes · similarity 0.56
- NeuralScript · hn · 2026-05-04 · 5 upvotes · similarity 0.55
- SyNumpy · hn · 2026-04-02 · 22 upvotes · similarity 0.55
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