initial import

Author: hojonathanho

.gitignore

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README.md

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+# Denoising Diffusion Probabilistic Models
+
+Experiments run on Google Cloud TPU v3-8.
+
+Requires TensorFlow 1.15 and Python 3.5, and these dependencies for CPU instances (see `requirements.txt`):
+```
+pip3 install fire
+pip3 install scipy
+pip3 install pillow
+pip3 install tensorflow-probability==0.8
+pip3 install tensorflow-gan==0.0.0.dev0
+pip3 install tensorflow-datasets==2.1.0
+```
+
+The training and evaluation scripts are in the `scripts/` subdirectory.
+The commands to run training and evaluation are in comments at the top of the scripts.
+Data is stored in GCS buckets. The scripts are written to assume that the bucket names are of the form `gs://mybucketprefix-us-central1`; i.e. some prefix followed by the region.
+The prefix should be passed into the scripts using the `--bucket_name_prefix` flag.
+
+Models and samples can be found at: https://www.dropbox.com/sh/pm6tn31da21yrx4/AABWKZnBzIROmDjGxpB6vn6Ja
+
+## Citation
+If you find our work relevant to your research, please cite:
+```
+@article{ho2020denoising,
+    title={Denoising Diffusion Probabilistic Models},
+    author={Jonathan Ho and Ajay Jain and Pieter Abbeel},
+    year={2020},
+    journal={arXiv preprint}
+}
+```