diff --git a/docs/make.jl b/docs/make.jl
index 5f99a5448f..3418f926a0 100644
--- a/docs/make.jl
+++ b/docs/make.jl
@@ -24,7 +24,7 @@ makedocs(
             "Saving & Loading" => "saving.md",
             "Performance Tips" => "performance.md",
         ],
-        "Flux's Ecosystem" => "ecosystem.md",  # This is a links page
+        "Ecosystem" => "ecosystem.md",  # This is a links page...
         "Reference" => [
         # This essentially collects docstrings, with a bit of introduction.
             "Built-in Layers" => "models/layers.md",
diff --git a/docs/src/ecosystem.md b/docs/src/ecosystem.md
index e36d328839..fc761b349f 100644
--- a/docs/src/ecosystem.md
+++ b/docs/src/ecosystem.md
@@ -9,7 +9,7 @@ See also academic work citing Flux or Zygote.
 
 ## Flux models
 
-Packages that are actual `Flux` models. See also Flux's [model-zoo](https://github.com/FluxML/model-zoo).
+- Flux's [model-zoo](https://github.com/FluxML/model-zoo) contains examples from many domains.
 
 ### Computer vision
 
@@ -38,6 +38,8 @@ Packages that are actual `Flux` models. See also Flux's [model-zoo](https://gith
 
 - [FluxArchitectures.jl](https://github.com/sdobber/FluxArchitectures.jl) is a collection of advanced network architectures for time series forecasting.
 
+---
+
 ## Tools closely associated with Flux
 
 Utility tools you're unlikely to have met if you never used Flux!
@@ -64,9 +66,10 @@ Tools to put data into the right order for creating a model.
 
 ### Parameters
 
-- [Parameters.jl](https://github.com/mauro3/Parameters.jl) types with default field values, keyword constructors and (un-)pack macros.
 - [ParameterSchedulers.jl](https://github.com/darsnack/ParameterSchedulers.jl) standard scheduling policies for machine learning.
 
+---
+
 ## Differentiable programming
 
 Packages based on differentiable programming but not necessarily related to Machine Learning. 
@@ -90,6 +93,7 @@ Packages based on differentiable programming but not necessarily related to Mach
 
 - [OnlineStats.jl](https://github.com/joshday/OnlineStats.jl) provides single-pass algorithms for statistics.
 
+---
 
 ## Useful miscellaneous packages
 
@@ -104,12 +108,14 @@ Some useful and random packages!
 - [ProgressMeter.jl](https://github.com/timholy/ProgressMeter.jl) progress meters for long-running computations.
 - [TensorBoardLogger.jl](https://github.com/PhilipVinc/TensorBoardLogger.jl) easy peasy logging to [tensorboard](https://www.tensorflow.org/tensorboard) in Julia
 - [ArgParse.jl](https://github.com/carlobaldassi/ArgParse.jl) is a package for parsing command-line arguments to Julia programs.
+- [Parameters.jl](https://github.com/mauro3/Parameters.jl) types with default field values, keyword constructors and (un-)pack macros.
 - [BSON.jl](https://github.com/JuliaIO/BSON.jl) is a package for working with the Binary JSON serialisation format.
 - [DataFrames.jl](https://github.com/JuliaData/DataFrames.jl) in-memory tabular data in Julia.
 - [DrWatson.jl](https://github.com/JuliaDynamics/DrWatson.jl) is a scientific project assistant software.
 
 This tight integration among Julia packages is shown in some of the examples in the [model-zoo](https://github.com/FluxML/model-zoo) repository.
 
+---
 
 ## Alternatives to Flux