Evidential Deep Learning to Quantify Classification Uncertainty (#85)

This commit is contained in:
Varuna Jayasiri
2021-08-21 10:25:32 +05:30
committed by GitHub
parent 387b6dfd1e
commit b6607524b8
19 changed files with 2720 additions and 17 deletions

View File

@ -5,10 +5,10 @@ with open("readme.md", "r") as f:
setuptools.setup(
name='labml-nn',
version='0.4.109',
version='0.4.110',
author="Varuna Jayasiri, Nipun Wijerathne",
author_email="vpjayasiri@gmail.com, hnipun@gmail.com",
description="🧠 Implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback, vit), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), reinforcement learning (ppo, dqn), capsnet, distillation, etc.",
description="🧑‍🏫 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit), optimizers (adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, etc. 🧠",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/labmlai/annotated_deep_learning_paper_implementations",
@ -20,7 +20,7 @@ setuptools.setup(
'labml_helpers', 'labml_helpers.*',
'test',
'test.*')),
install_requires=['labml>=0.4.129',
install_requires=['labml>=0.4.132',
'labml-helpers>=0.4.81',
'torch',
'einops',