Fix lists

Author: amrit110

docs/implementation_details.md

@@ -7,16 +7,17 @@ Each repository in this catalog contains implementations of specific machine lea
 - **Algorithms**: List of ML algorithms demonstrated in the repository
 - **Datasets**: Information on datasets used, with links to publicly available data
 - **Type**: The category of implementation:
-    * **bootcamp**: Educational implementations developed for workshops and learning purposes
-    * **tool**: Production-ready, reusable libraries and frameworks for practical use
-    * **applied-research**: Research implementations tied to specific papers or novel methodologies
+    - **bootcamp**: Educational implementations developed for workshops and learning purposes
+    - **tool**: Production-ready, reusable libraries and frameworks for practical use
+    - **applied-research**: Research implementations tied to specific papers or novel methodologies
 - **Year**: The year the implementation was published
 
 ## Usage Notes
 
 !!! note
-    - Many repositories contain code for reference purposes only. To run them, updates may be required to the code and environment files.
-    - Links for only publicly available datasets are provided. Many datasets used in the repositories are only available on the Vector cluster.
+    Many repositories contain code for reference purposes only. To run them, updates may be required to the code and environment files.
+
+    Links for only publicly available datasets are provided. Many datasets used in the repositories are only available on the Vector cluster.
 
 ## Repository Categories
 
@@ -27,13 +28,15 @@ The catalog is organized by implementation type to help you quickly find the res
 **Purpose**: Production-ready, reusable libraries and frameworks for practical use
 
 **Key Characteristics**:
+
 - Comprehensive documentation and APIs
 - Multiple implementation options (CLI, Python API, web interfaces)
 - Focus on usability and deployment
 - Broad applicability across use cases
 - Ready for integration into production systems
 
 **Examples**:
+
 - **fl4health**: Modular federated learning library with 15+ implemented algorithms
 - **cyclops**: Healthcare ML toolkit with data processing and model deployment capabilities
 - **vector-inference**: LLM inference system with CLI, Python API, and OpenAI-compatible server
@@ -46,6 +49,7 @@ The catalog is organized by implementation type to help you quickly find the res
 **Purpose**: Educational implementations developed for workshops and learning purposes
 
 **Key Characteristics**:
+
 - Step-by-step learning materials
 - Clear documentation with tutorials
 - Simplified implementations for educational clarity
@@ -57,13 +61,15 @@ The catalog is organized by implementation type to help you quickly find the res
 **Purpose**: Research implementations tied to specific papers or novel methodologies
 
 **Key Characteristics**:
+
 - Often include `paper_url` and `bibtex` fields
 - Implement specific research contributions
 - Focus on reproducibility and experimentation
 - May include novel datasets or pre-trained models
 - Code directly supports published research
 
 **Examples**:
+
 - **bias-mitigation-unlearning**: Implements specific EMNLP 2024 paper methods (Negation via Task Vectors, PCGU)
 - **kg-rag**: Framework for Knowledge Graph RAG research with specific implementations
 - **atomgen**: Transformer-based atomistic graph models with pre-trained models
@@ -81,8 +87,8 @@ If you are a Vector researcher or engineer and would like to add your implementa
 
 Please use our provided templates:
 
-* 🐛 [Report a bug](https://github.com/VectorInstitute/reference-implementation-catalog/issues/new?template=bug_report.md) - for reporting problems or errors
-* ✨ [Request a feature](https://github.com/VectorInstitute/reference-implementation-catalog/issues/new?template=feature_request.md) - for suggesting improvements or new additions
+- 🐛 [Report a bug](https://github.com/VectorInstitute/reference-implementation-catalog/issues/new?template=bug_report.md) - for reporting problems or errors
+- ✨ [Request a feature](https://github.com/VectorInstitute/reference-implementation-catalog/issues/new?template=feature_request.md) - for suggesting improvements or new additions
 
 ### ❓ Questions
 

docs/index.md

@@ -345,6 +345,10 @@ hide:
 
 
 
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@@ -674,4 +678,3 @@ hide:
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