Merge pull request #14 from VectorInstitute/update_to_impls

Change algorithms to implementations

Author: amrit110

docs/index.md

@@ -278,7 +278,7 @@ a.dataset-tag:hover {
 
 <div class="catalog-stats">
   <div class="stat">
-    <div class="stat-number">25</div>
+    <div class="stat-number">27</div>
     <div class="stat-label">Implementations</div>
   </div>
   <div class="stat">
@@ -296,6 +296,24 @@ a.dataset-tag:hover {
 
 
 
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@@ -350,6 +368,19 @@ a.dataset-tag:hover {
 
     <div class="grid cards" markdown>
     <div class="card" markdown>
+    <div class="header">
+        <h3><a href="https://github.com/VectorInstitute/fed-rag" title="Go to Repository">fed-rag</a></h3>
+        <span class="tag year-tag">2025</span>
+        <span class="tag type-tag">tool</span>
+    </div>
+    <p>A framework for fine-tuning retrieval-augmented generation (RAG) systems.</p>
+    <div class="tag-container">
+        <span class="tag" data-tippy="RA-DIT">RA-DIT</span>          <span class="tag" data-tippy="Algo2">Algo2</span>
+    </div>
+
+
+    </div>
+    <div class="card" markdown>
     <div class="header">
         <h3><a href="https://github.com/VectorInstitute/fl4health" title="Go to Repository">fl4health</a></h3>
         <span class="tag year-tag">2024</span>

repositories/bias-mitigation-unlearning.yaml

@@ -1,7 +1,7 @@
 name: bias-mitigation-unlearning
 repo_id: bmu-repo
 description: "A repository for social bias mitigation in LLMs using machine unlearning"
-algorithms:
+implementations:
   - name: Negation via Task Vectors
     url: https://aclanthology.org/2024.emnlp-industry.71/
   - name: PCGU

repositories/diffusion-models.yaml

@@ -1,7 +1,7 @@
 name: diffusion-models
 repo_id: diffusion-repo
 description: "A repository with demos for various diffusion models for tabular and time series data"
-algorithms:
+implementations:
   - name: TabDDPM
     url: null
   - name: TabSyn

repositories/fl4health.yaml

@@ -1,7 +1,7 @@
 name: fl4health
 repo_id: fl4health-repo
 description: "A flexible, modular, and easy to use library to facilitate federated learning research and development in healthcare settings"
-algorithms:
+implementations:
   - name: FedAvg
     url: https://arxiv.org/abs/1602.05629
   - name: FedOpt

scripts/sync_repositories_to_docs.py

@@ -107,9 +107,9 @@ def count_total_implementations(implementations_by_type: Dict[str, List[Dict]])
     total_count = 0
     for _impl_type, implementations in implementations_by_type.items():
         for impl in implementations:
-            # Count the algorithms in each implementation
-            if "algorithms" in impl and impl["algorithms"]:
-                total_count += len(impl["algorithms"])
+            # Count the implementations
+            if "implementations" in impl and impl["implementations"]:
+                total_count += len(impl["implementations"])
 
     return total_count
 
@@ -176,24 +176,24 @@ def generate_card_html(impl: Dict) -> str:
         HTML string for the implementation card
 
     """
-    # Extract algorithms to display as tags
-    algorithms = impl.get("algorithms", [])
+    # Extract implementations to display as tags
+    implementations = impl.get("implementations", [])
     tag_html = ""
 
-    # Create algorithm tags with data-tippy attribute
-    for algo in algorithms:
-        if isinstance(algo, dict) and "name" in algo:
-            algo_name = algo["name"].strip()
-            algo_url = algo.get("url", "")
+    # Create implementation tags with data-tippy attribute
+    for impl_ in implementations:
+        if isinstance(impl_, dict) and "name" in impl_:
+            impl_name = impl_["name"].strip()
+            impl_url = impl_.get("url", "")
 
-            if algo_url:
-                tag_html += f'        <a href="{algo_url}" class="tag" target="_blank">{algo_name}</a>  '
+            if impl_url:
+                tag_html += f'        <a href="{impl_url}" class="tag" target="_blank">{impl_name}</a>  '
             else:
-                tag_html += f'        <span class="tag" data-tippy="{algo_name}">{algo_name}</span>  '
+                tag_html += f'        <span class="tag" data-tippy="{impl_name}">{impl_name}</span>  '
         else:
-            algo_text = str(algo).strip()
-            if algo_text:
-                tag_html += f'        <span class="tag" data-tippy="{algo_text}">{algo_text}</span>  '
+            impl_text = str(impl_).strip()
+            if impl_text:
+                tag_html += f'        <span class="tag" data-tippy="{impl_text}">{impl_text}</span>  '
 
     # Format datasets
     formatted_datasets = format_datasets(impl.get("public_datasets", []))