diff --git a/Programming-in-Python.md b/Programming-in-Python.md
index 3d654902..052a9de4 100644
--- a/Programming-in-Python.md
+++ b/Programming-in-Python.md
@@ -116,7 +116,7 @@ See **Python: Best practices** and **Python: Testing** under [Courses](./courses
 
 ## Versioning
 
-- [ML Versioning Tool](https://github.com/sbracaloni/ml-versioning-tool)
+- [ML Versioning Tool](https://github.com/peopledoc/ml-versioning-tools) by [@sbracaloni](https://github.com/sbracaloni)
 
 ## Testing
 
@@ -130,8 +130,7 @@ See **Python: Best practices** and **Python: Testing** under [Courses](./courses
 
 ### Machine Learning
 
-- [A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time](https://github.com/EricSchles/drifter_ml)
-- [A number of repos containing tests](https://github.com/jd-13/)
+See [Machine Learning Testing](./details/julia-python-and-r.md#testing)
 
 ## Refactoring
 
diff --git a/README.md b/README.md
index e3b70822..a7a1c093 100644
--- a/README.md
+++ b/README.md
@@ -59,7 +59,7 @@ Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn
     - [Programming in Python](Programming-in-Python.md)
     - [More...](./details/julia-python-and-r.md#more)
   - [JavaScript](README-details.md#javascript)
-  - [Testing](./Programming-in-Python.md#machine-learning)
+  - [Tests & Testing](./details/julia-python-and-r.md#testing)
   - [Guides](guides.md#guides)
   - [Study notes](./study-notes/README.md#study-notes)
   - [Swift for TensorFlow](https://www.tensorflow.org/swift/) - next generation platform for deep learning and differentiable programming
diff --git a/details/julia-python-and-r.md b/details/julia-python-and-r.md
index 6c1af20c..9c682489 100644
--- a/details/julia-python-and-r.md
+++ b/details/julia-python-and-r.md
@@ -139,8 +139,13 @@
   - See [ML on Code/Programm/Source Code](../ML-on-code-programming-source-code.md)
   - See [Cloud/DevOps/Infra > Performance](../cloud-devops-infra/README.md#performance) - to find various ML performance benchmarking suites
   - See [Post model-creation analysis, ML interpretation/explainability](../data/README.md#post-model-creation-analysis-ml-interpretationexplainability)
-  - Also see [Machine Learning Testing (Python)](../Programming-in-Python.md#machine-learning)
+  
+  ### Testing
 
+   - [A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time](https://github.com/EricSchles/drifter_ml)
+   - [Tests in TrainingHelpers](https://github.com/jd-13/TFHelpers/blob/master/TFHelpers/TrainingHelpers.py) and [Tests in TFHelpers](https://github.com/jd-13/TFHelpers/tree/master/Tests) by [Jack Devlin](https://github.com/jd-13)
+   - [Tests in picknmix](https://github.com/picknmix/picknmix/tree/master/tests) by [Cheuk Ting Ho](https://github.com/Cheukting)
+   
   ### Deep Learning
 
    - [FREE! Deep learning book online - by Ian Goodfellow and Yoshua Bengio and Aaron Courville](http://www.deeplearningbook.org/)