imbalanced-dataset-sampler
A PyTorch sampler that rebalances class frequencies during training by resampling.
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GITHUB · launched Nov 5, 2026 · 50 upvotes (top 63%) · 0 views
Niche: machine learning developer tools · 303 launches, 11 in the last 7 days ▼ -45% · Explore this niche →
Category and tags
- Horizontal
- Dev tools
- Developer
- AI feature
- Hobby / open-source project
- deep-learning
- imbalanced-data
- machine-learning
- python
- pytorch
- sampler
Visit website ↗ Source listing ↗
More like this: all 303 launches in machine learning developer tools →
Could you build this?
Yes A PyTorch sampler implementing class-balanced resampling is a small, well-defined library that AI coding assistants handle well.
Competitors
Other products that read as similar to this one : 1537 launches clear the similarity bar, closest 8 shown.
Attention rank: #886 of 1538 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 370 days after the earliest competitor.
- EVA · github · 2026-10-06 · 10 upvotes · similarity 0.63
- Reimplementing PyTorch from scratch (MLP, CNN) to learn the internals · hn · 2026-02-03 · 5 upvotes · similarity 0.62
- pypoLCA · hn · 2026-06-07 · 6 upvotes · similarity 0.58
- deeplearning_optimization · github · 2026-10-07 · 21 upvotes · similarity 0.55
- finetuning-with-sampling · github · 2026-10-01 · 65 upvotes · similarity 0.54
- genpark-dense-feedforward-mlp-backprop-skill · github · 2026-09-28 · 7 upvotes · similarity 0.54
- Deep-Learning-with-PyTorch · github · 2026-11-03 · 22 upvotes · similarity 0.54
- genpark-adamw-decoupled-weight-decay-skill · github · 2026-09-10 · 7 upvotes · similarity 0.53
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