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CanReader merged 1 commit into from
Oct 10, 2026
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point hacktoberfest contributors at the starting issue #57

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7 changes: 6 additions & 1 deletion CONTRIBUTING.md
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Expand Up @@ -6,7 +6,12 @@ that way.

If you want to work on something bigger than a bug fix, open an issue first so
we can agree on the shape before you write it. Issues labelled
`good first issue` are a decent place to start.
`good first issue` are a decent place to start, and `help wanted` is for
bigger work, mostly performance. Comment on an issue before you start on it
so two people don't write the same fix.

During Hacktoberfest the [pinned issue](https://github.com/CanReader/FastNN/issues/56)
explains what gets the `hacktoberfest-accepted` label.

## Setup

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14 changes: 13 additions & 1 deletion README.md
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[Releases](https://github.com/CanReader/FastNN/releases) ·
[Contributing](CONTRIBUTING.md)

**Hacktoberfest 2026:** FastNN is taking part. [Start here](https://github.com/CanReader/FastNN/issues/56).

</div>

FastNN is a from-scratch deep learning library: tensors with reverse-mode
Expand Down Expand Up @@ -147,6 +149,10 @@ curl -o shakespeare.txt \
cargo run --release --example char_lm -- shakespeare.txt
```

Want to see it without writing any code? [fastnn-visualizer](https://github.com/CanReader/fastnn-visualizer)
trains an MLP on MNIST with FastNN and lets you draw a digit in the browser
and watch the network light up as it predicts.

### Prebuilt binaries

Every [release](https://github.com/CanReader/FastNN/releases) ships all of the
Expand Down Expand Up @@ -437,7 +443,13 @@ for `relu` is in `tensor/ops/activation.rs` and its derivative is in
Bug reports, ideas, and pull requests are all welcome. [CONTRIBUTING.md](CONTRIBUTING.md)
covers the setup, the conventions, what CI checks, and how to add an op. Issues
labelled [`good first issue`](https://github.com/CanReader/FastNN/labels/good%20first%20issue)
are a good place to start.
are a good place to start. Each one points at the file and line and says what a
fix looks like.

During Hacktoberfest, read the [pinned issue](https://github.com/CanReader/FastNN/issues/56)
first. It explains how claiming an issue works and what counts.

If FastNN is useful to you, a star helps other people find it.

Please report security problems privately, as described in [SECURITY.md](SECURITY.md).

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