diffusion
Denoising Diffusion Probabilistic Models
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Download Latest Version (.zip)- __init__.py
- unet.py
- __init__.py
- classifier_metrics_numpy.py
- datasets.py
- simple_eval_worker.py
- tpu_summaries.py
- tpu_utils.py
- __init__.py
- diffusion_utils.py
- diffusion_utils_2.py
- nn.py
- utils.py
- samples.png
- __init__.py
- run_celebahq.py
- run_cifar.py
- run_lsun.py
- .gitignore
- README.md
- requirements.txt
# Installation Guide
git clone https://github.com/hojonathanho/diffusion
Downloads the entire project code from GitHub to your computer.
cd diffusion
Moves into the project folder you just downloaded.
2. Official Install Script
Easy Recommended- Python 3 Python is required to use pip.
pip3 install fire
Installs the package published on PyPI directly โ no need to clone the source.
pip3 install scipy
Installs the package published on PyPI directly โ no need to clone the source.
pip3 install pillow
Installs the package published on PyPI directly โ no need to clone the source.
pip3 install tensorflow-probability==0.8
Installs the package published on PyPI directly โ no need to clone the source.
Pulled directly from this repo's README.
3. Python
Easypip3 install fire
Installs the package published on PyPI directly โ no need to clone the source.
pip3 install scipy
Installs the package published on PyPI directly โ no need to clone the source.
pip3 install pillow
Installs the package published on PyPI directly โ no need to clone the source.
pip3 install tensorflow-probability==0.8
Installs the package published on PyPI directly โ no need to clone the source.
pip3 install tensorflow-gan==0.0.0.dev0
Installs the package published on PyPI directly โ no need to clone the source.
Pulled directly from this repo's README.