update home page

.github/workflows/documentation.yml

@@ -29,7 +29,7 @@ jobs:
         pip install sphinx_book_theme
         pip install numpy
         pip install pandas
-        pip install torch
+        pip install torch --index-url https://download.pytorch.org/whl/cpu
         pip install tqdm
         pip install scanpy
         pip install scikit-learn

docs/index.rst

@@ -6,10 +6,15 @@ probabilistic diffusion model. It works well on genes and is capable to predict
 biologically verifiable links from single cell RNA-seq data.
 
 Inference on networks with 15,000 genes takes under 5 minutes with modern 
-accelerated computing. 
+accelerated computing. In contrast, previous VAE based models would take more 
+than 4 hours on the same device. Even if you don't have access to those fancy 
+GPU cards, RegDiffusion still works. Inference on the same large network takes 
+roughly 3 hours on a mid-range 12-core CPU. It does run slower but it's still 
+faster than previous algorithm on GPU thanks to the improvement on algorithm. 
 
 Installation
-============
+------------
+
 ``regdiffusion`` is available on pypi:
 
     pip install regdiffusion