diff --git a/doc/source/tune.rst b/doc/source/tune.rst
index 67ee0ea76..30514cc45 100644
--- a/doc/source/tune.rst
+++ b/doc/source/tune.rst
@@ -75,11 +75,11 @@ Open Source Projects using Tune
 Here are some of the popular open source repositories and research projects that leverage Tune. Feel free to submit a pull-request adding (or requesting a removal!) of a listed project.
 
  - `Softlearning <https://github.com/rail-berkeley/softlearning>`_: Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
- - `Flambe <https://github.com/asappresearch/flambe>`_: An ML framework to accelerate research and its path to production. See `flambe.ai <flambe.ai>`_.
+ - `Flambe <https://github.com/asappresearch/flambe>`_: An ML framework to accelerate research and its path to production. See `flambe.ai <https://flambe.ai>`_.
  - `Population Based Augmentation <https://github.com/arcelien/pba>`_: Population Based Augmentation (PBA) is a algorithm that quickly and efficiently learns data augmentation functions for neural network training. PBA matches state-of-the-art results on CIFAR with one thousand times less compute.
  - `Fast AutoAugment by Kakao <https://github.com/kakaobrain/fast-autoaugment>`_: Fast AutoAugment (Accepted at NeurIPS 2019) learns augmentation policies using a more efficient search strategy based on density matching.
  - `Allentune <https://github.com/allenai/allentune>`_: Hyperparameter Search for AllenNLP from AllenAI.
- - `machinable <https://github.com/frthjf/machinable>`_: A modular configuration system for machine learning research. See `machinable.org <machinable.org>`_.
+ - `machinable <https://github.com/frthjf/machinable>`_: A modular configuration system for machine learning research. See `machinable.org <https://machinable.org>`_.
 
 Citing Tune
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