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authorLorenzo Torres <lorenzotorres@outlook.it>2025-10-19 14:49:45 +0200
committerLorenzo Torres <lorenzotorres@outlook.it>2025-10-19 14:49:45 +0200
commit1e817b3c984c10c14b1e2d1623524f4d283bc1fe (patch)
tree62e24281594ce411fb9af4e1c276420d672878b0
parentb1450631786e915e3ed365dfad18478e37c4ee84 (diff)
added MNIST to projects
-rw-r--r--content/projects.md5
-rw-r--r--content/projects/mnist.md12
2 files changed, 14 insertions, 3 deletions
diff --git a/content/projects.md b/content/projects.md
index b071eab..43a388e 100644
--- a/content/projects.md
+++ b/content/projects.md
@@ -2,9 +2,7 @@
# My projects
This is a list of the projects I'm currently working on.\
-Note that some of these could be temprarily unmaintained\
-and currently none is actually usable since I can't manage\
-to finish anything I start (so far).
+Note that some of these could be temprarily unmaintained.
### Work in progress
- [sideros](sideros/): Real time strategy game set in ancient history
@@ -12,3 +10,4 @@ to finish anything I start (so far).
- [cc](cc/): Very basic C99 compiler
### Actually working
+- [mnist](mnist/): Neural network predicting handwritten digits from the MNIST database.
diff --git a/content/projects/mnist.md b/content/projects/mnist.md
new file mode 100644
index 0000000..e1bcdd8
--- /dev/null
+++ b/content/projects/mnist.md
@@ -0,0 +1,12 @@
+<!-- title: mnist -->
+
+## mnist
+**mnist** is a neural network trained to predict images in the [MNIST database](https://en.wikipedia.org/wiki/MNIST_database).
+
+#### Description
+It's written in python without making use of ML libraries directly, using Apple's MLX to accelerate matrix computations with the GPU. This makes the scripts very fast on Apple Silicon machines since MLX makes great use of the SoC shared memory and lazy evaluation for efficiency. The code is commented in detail and quite simple to understand with basic understanding of neural networks.
+
+#### Sources
+mnist is currently hosted on GitHub at [https://github.com/lolzdev/mnist](https://github.com/lolzdev/mnist)
+
+#### Related posts