release

Author: homerjed

README.md

@@ -34,10 +34,10 @@ $$
 the reverse of the SDE from noise to data is given by 
 
 $$
-\text{d}x_t = [f(x_t, t) - g(t)^2\nabla_{x_t}\log p_t(x_t)]\text{d}t + g(t)\text{d}w_t.
+\text{d}x_t = [f(x_t, t) - g(t)^2\nabla_{x_t}\log p_t(x_t)]\text{d}t + g(t)\text{d}w_t,
 $$
 
-For every SDE there exists an associated ordinary differential equation (ODE)
+Where $\text{d}w_t \sim \mathcal{G}[\text{d}w_t | 0, 1]$. For every SDE there exists an associated ordinary differential equation (ODE)
 
 $$
 \text{d}x_t = [f(x_t, t)\text{d}t - \frac{1}{2}g(t)^2\nabla_{x_t}\log p_t(x_t)]\text{d}t,

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "sbgm"
-version = "0.0.36"
+version = "0.0.38"
 description = "Score-based Diffusion models in JAX."
 readme = "README.md"
 requires-python ="~=3.12"
@@ -56,4 +56,4 @@ requires = ["hatchling"]
 build-backend = "hatchling.build"
 
 [tool.hatch.build]
-include = ["sbgm/*"]
+include = ["sbgm/*"]