From 59852e6c02e0d91d0be383f79bd21aa05f7d5aec Mon Sep 17 00:00:00 2001
From: PSR94 <88868390+PSR94@users.noreply.github.com>
Date: Tue, 1 Sep 2026 11:45:04 -0400
Subject: [PATCH] docs(readme): fix examples list formatting

---
 README.md | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 27e5c189b6..1ab2d0953c 100644
--- a/README.md
+++ b/README.md
@@ -91,10 +91,9 @@ for end-to-end examples. It includes tutorial notebooks such as:
 
 It also includes example scripts such as:
 
-  Representation learning with a latent code and variational inference.
 * [Vector-Quantized Autoencoder](https://github.com/tensorflow/probability/tree/main/tensorflow_probability/examples/vq_vae.py).
   Discrete representation learning with vector quantization.
-* [Disentangled Sequential Variational Autoencoder](https://github.com/tensorflow/probability/tree/main/tensorflow_probability/examples/disentangled_vae.py)
+* [Disentangled Sequential Variational Autoencoder](https://github.com/tensorflow/probability/tree/main/tensorflow_probability/examples/disentangled_vae.py).
   Disentangled representation learning over sequences with variational inference.
 * [Bayesian Neural Networks](https://github.com/tensorflow/probability/tree/main/tensorflow_probability/examples/bayesian_neural_network.py).
   Neural networks with uncertainty over their weights.