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Merge pull request #33 from VectorInstitute/update_links
Update links for reference implementations
2 parents 5bc643e + 4f7cfff commit 89748e2

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catalog/public/data/repositories.json

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@@ -108,7 +108,8 @@
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],
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"type": "tool",
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"year": 2025,
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"github_url": "https://github.com/VectorInstitute/fair-sense-ai"
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"github_url": "https://github.com/VectorInstitute/fair-sense-ai",
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"package_name": "fair-sense-ai"
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},
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{
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"name": "fed-rag",
@@ -127,6 +128,7 @@
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"type": "tool",
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"year": 2025,
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"github_url": "https://github.com/VectorInstitute/fed-rag",
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"package_name": "fed-rag",
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"paper_url": "https://doi.org/10.5281/zenodo.15092361",
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"bibtex": "fajardo2025fedrag"
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},
@@ -183,39 +185,39 @@
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"implementations": [
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{
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"name": "LIME",
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"url": "https://christophm.github.io/interpretable-ml-book/lime.html"
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"url": "https://github.com/VectorInstitute/interpretability/tree/main/reference_implementations/Post-hoc/LIME"
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},
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{
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"name": "SHAP",
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"url": "https://arxiv.org/abs/1705.07874"
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"url": "https://github.com/VectorInstitute/interpretability/tree/main/reference_implementations/Post-hoc/SHAP"
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},
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{
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"name": "PDP (Partial Dependence Plot)",
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"url": "https://scikit-learn.org/stable/modules/partial_dependence.html"
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"url": "https://github.com/VectorInstitute/interpretability/tree/main/reference_implementations/Post-hoc/partial_dependence_plots"
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},
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{
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"name": "ALE (Accumulated Local Effects)",
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"url": "https://christophm.github.io/interpretable-ml-book/ale.html"
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"url": "https://github.com/VectorInstitute/interpretability/tree/main/reference_implementations/Post-hoc/acc_local_effects"
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},
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{
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"name": "Integrated Gradients",
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"url": "https://www.tensorflow.org/tutorials/interpretability/integrated_gradients"
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"url": "https://github.com/VectorInstitute/interpretability/tree/main/reference_implementations/Post-hoc/integrated_gradients"
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},
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{
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"name": "Counterfactual Explanations",
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"url": "https://christophm.github.io/interpretable-ml-book/counterfactual.html"
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"url": "https://github.com/VectorInstitute/interpretability/tree/main/reference_implementations/Post-hoc/counterfactual"
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},
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{
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"name": "Generalized Additive Model",
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"url": "https://en.wikipedia.org/wiki/Generalized_additive_model"
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"url": "https://github.com/VectorInstitute/interpretability/tree/main/reference_implementations/Intepretable-models/Tabular/GAM"
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},
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{
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"name": "Neural Additive Model",
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"url": "https://arxiv.org/abs/2004.13912"
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"url": "https://github.com/VectorInstitute/interpretability/tree/main/reference_implementations/Intepretable-models/Tabular/NAM-NodeGAM"
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},
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{
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"name": "Explainable Boosting Machine",
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"url": "https://interpret.ml/docs/ebm.html"
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"url": "https://github.com/VectorInstitute/interpretability/tree/main/reference_implementations/Intepretable-models/Tabular/EBM"
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}
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],
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"public_datasets": [
@@ -380,11 +382,11 @@
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"implementations": [
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{
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"name": "AWS",
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"url": "https://aws.amazon.com/"
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"url": "https://github.com/VectorInstitute/ai-deployment/tree/main/implementations/aws"
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},
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{
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"name": "GCP",
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"url": "https://cloud.google.com/"
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"url": "https://github.com/VectorInstitute/ai-deployment/tree/main/implementations/gcp"
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}
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],
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"type": "bootcamp",
@@ -503,7 +505,8 @@
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],
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"type": "tool",
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"year": 2024,
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"github_url": "https://github.com/VectorInstitute/cyclops"
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"github_url": "https://github.com/VectorInstitute/cyclops",
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"package_name": "pycyclops"
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},
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{
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"name": "diffusion-models",
@@ -543,7 +546,7 @@
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],
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"type": "bootcamp",
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"year": 2024,
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"github_url": "https://github.com/VectorInstitute/diffusion_models"
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"github_url": "https://github.com/VectorInstitute/diffusion-models"
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},
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{
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"name": "finetuning-and-alignment",
@@ -669,7 +672,8 @@
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],
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"type": "tool",
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"year": 2024,
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"github_url": "https://github.com/VectorInstitute/fl4health"
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"github_url": "https://github.com/VectorInstitute/fl4health",
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"package_name": "fl4health"
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},
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{
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"name": "florist",
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"type": "bootcamp",
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"year": 2024,
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"github_url": "https://github.com/VectorInstitute/retrieval-augmented-generation",
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"platform_url": "https://89kc2habps6ig.pit-1.try.coder.app/templates/rag-bootcamp/"
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"package_name": "aieng-rag-utils"
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},
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{
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"name": "self-supervised-learning",
@@ -867,19 +871,19 @@
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"implementations": [
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{
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"name": "Internal Contrastive Learning (ICL) + Latent Outlier Exposure (LOE)",
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"url": "https://proceedings.mlr.press/v162/qiu22b/qiu22b.pdf"
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"url": "https://github.com/VectorInstitute/self-supervised-learning/tree/main/src/contrastive_learning"
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},
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{
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"name": "SimMTM",
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"url": "https://arxiv.org/abs/2302.00861"
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"url": "https://github.com/VectorInstitute/self-supervised-learning/tree/main/src/masked_modelling/simmtm"
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},
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{
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"name": "TabRet",
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"url": "https://arxiv.org/abs/2303.15747"
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"url": "https://github.com/VectorInstitute/self-supervised-learning/tree/main/src/masked_modelling/tabret"
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},
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{
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"name": "Data2Vec",
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"url": "https://arxiv.org/abs/2202.03555"
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"url": "https://github.com/VectorInstitute/self-supervised-learning/tree/main/src/self_distillation"
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}
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],
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"public_datasets": [
@@ -903,6 +907,7 @@
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"type": "tool",
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"year": 2024,
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"github_url": "https://github.com/VectorInstitute/vector-inference",
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"package_name": "vec-inf",
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"implementations": [
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"CLI",
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"Python API",
@@ -1036,5 +1041,5 @@
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],
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"totalImplementations": 136,
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"yearsOfResearch": 7,
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"lastUpdated": "2025-11-25T15:22:49.432085"
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"lastUpdated": "2025-11-26T21:41:00.884001"
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}

repositories/ai-deployment.yaml

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@@ -3,9 +3,9 @@ repo_id: VectorInstitute/ai-deployment
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description: "A repository with reference implementations for deploying AI models in production environments, focusing on best practices and cloud-native solutions."
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implementations:
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- name: AWS
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url: https://aws.amazon.com/
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url: https://github.com/VectorInstitute/ai-deployment/tree/main/implementations/aws
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- name: GCP
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url: https://cloud.google.com/
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url: https://github.com/VectorInstitute/ai-deployment/tree/main/implementations/gcp
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type: bootcamp
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year: 2024
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github_url: https://github.com/VectorInstitute/ai-deployment

repositories/diffusion-models.yaml

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@@ -19,4 +19,4 @@ public_datasets:
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url: https://archive.ics.uci.edu/dataset/321/electricityloaddiagrams20112014
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type: bootcamp
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year: 2024
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github_url: https://github.com/VectorInstitute/diffusion_models
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github_url: https://github.com/VectorInstitute/diffusion-models

repositories/interpretability.yaml

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@@ -3,23 +3,23 @@ repo_id: VectorInstitute/interpretability
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description: "A repository providing reference implementations and resources for the 2025 Bootcamp on Interpretable and Explainable AI, covering both post-hoc explainability methods and interpretable models"
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implementations:
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- name: LIME
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url: https://christophm.github.io/interpretable-ml-book/lime.html
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url: https://github.com/VectorInstitute/interpretability/tree/main/reference_implementations/Post-hoc/LIME
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- name: SHAP
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url: https://arxiv.org/abs/1705.07874
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url: https://github.com/VectorInstitute/interpretability/tree/main/reference_implementations/Post-hoc/SHAP
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- name: PDP (Partial Dependence Plot)
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url: https://scikit-learn.org/stable/modules/partial_dependence.html
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url: https://github.com/VectorInstitute/interpretability/tree/main/reference_implementations/Post-hoc/partial_dependence_plots
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- name: ALE (Accumulated Local Effects)
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url: https://christophm.github.io/interpretable-ml-book/ale.html
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url: https://github.com/VectorInstitute/interpretability/tree/main/reference_implementations/Post-hoc/acc_local_effects
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- name: Integrated Gradients
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url: https://www.tensorflow.org/tutorials/interpretability/integrated_gradients
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url: https://github.com/VectorInstitute/interpretability/tree/main/reference_implementations/Post-hoc/integrated_gradients
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- name: Counterfactual Explanations
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url: https://christophm.github.io/interpretable-ml-book/counterfactual.html
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url: https://github.com/VectorInstitute/interpretability/tree/main/reference_implementations/Post-hoc/counterfactual
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- name: Generalized Additive Model
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url: https://en.wikipedia.org/wiki/Generalized_additive_model
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url: https://github.com/VectorInstitute/interpretability/tree/main/reference_implementations/Intepretable-models/Tabular/GAM
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- name: Neural Additive Model
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url: https://arxiv.org/abs/2004.13912
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url: https://github.com/VectorInstitute/interpretability/tree/main/reference_implementations/Intepretable-models/Tabular/NAM-NodeGAM
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- name: Explainable Boosting Machine
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url: https://interpret.ml/docs/ebm.html
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url: https://github.com/VectorInstitute/interpretability/tree/main/reference_implementations/Intepretable-models/Tabular/EBM
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public_datasets:
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- name: Gas turbine dataset
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url: https://archive.ics.uci.edu/dataset/551/gas+turbine+co+and+nox+emission+data+set

repositories/self-supervised-learning.yaml

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@@ -3,13 +3,13 @@ repo_id: VectorInstitute/self-supervised-learning
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description: "A repository with reference implementations of self-supervised learning techniques"
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implementations:
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- name: Internal Contrastive Learning (ICL) + Latent Outlier Exposure (LOE)
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url: https://proceedings.mlr.press/v162/qiu22b/qiu22b.pdf
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url: https://github.com/VectorInstitute/self-supervised-learning/tree/main/src/contrastive_learning
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- name: SimMTM
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url: https://arxiv.org/abs/2302.00861
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url: https://github.com/VectorInstitute/self-supervised-learning/tree/main/src/masked_modelling/simmtm
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- name: TabRet
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url: https://arxiv.org/abs/2303.15747
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url: https://github.com/VectorInstitute/self-supervised-learning/tree/main/src/masked_modelling/tabret
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- name: Data2Vec
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url: https://arxiv.org/abs/2202.03555
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url: https://github.com/VectorInstitute/self-supervised-learning/tree/main/src/self_distillation
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public_datasets:
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- name: STL-10
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url: https://cs.stanford.edu/~acoates/stl10/

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