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https://github.com/ivylee/model-cards-and-datasheets

A collection of machine learning model cards and datasheets.
https://github.com/ivylee/model-cards-and-datasheets
Last synced: about 2 months ago
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A collection of machine learning model cards and datasheets.
Host: GitHub
URL: https://github.com/ivylee/model-cards-and-datasheets
Owner: ivylee
License: mit
Created: 2020-01-20T23:51:50.000Z (almost 5 years ago)
Default Branch: master
Last Pushed: 2024-06-21T14:15:23.000Z (6 months ago)
Last Synced: 2024-07-31T21:53:10.222Z (5 months ago)
Homepage:
Size: 97.7 KB
Stars: 67
Watchers: 8
Forks: 8
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE
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README

        # model-cards-and-datasheets

A collection of machine learning model cards and datasheets.

## Model Cards

* [Model Cards for Model Reporting][1]

* [DAG Card is the new Model Card][54]

* [Face Detection, Google Cloud Vision API][2]

* [Object Detection, Google Cloud Vision API][3]

* [Toxicity, Google Conversation AI][4]

* [GPT-2, Open AI][5]

* [GPT-3, Open AI][39]

* [PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models][10]

* ["The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning][11]

* [MediaPipe BlazeFace][12]

* [MediaPipe Face Mesh][13]

* [MediaPipe Hands][14]

* [MediaPipe Hair Segmentation][15]

* [MediaPipe KNIFT (Keypoint Neural Invariant Feature Transform)][16]

* [MediaPipe Meet Segmentation][31]

* [MediaPipe Iris][32]

* [MediaPipe BlazePose Upper-body][33]

* [MediaPipe Objectron][34]

* [PeopleNet, Nvidia][23]

* [TrafficCamNet, Nvidia][24]

* [DashCamNet, Nvidia][25]

* [FaceDetect-IR, Nvidia][26]

* [VehicleTypeNet, Nvidia][27]

* [VehicleMakeNet, Nvidia][28]

* [CLIP, OpenAI][35]

* [DALL-E, OpenAI][36]

* [DynaSent][37]

* [CTRL - A Conditional Transformer Language Model for Controllable Generation, Salesforce][40]

* [Einstein OCR Model Card, Salesforce][41]

* [MLKit Selfie Segmentation, Google ML Kit][42]

* [Detector for CTRL, Salesforce][43]

* [AI Economist: Foundation, Salesforce][44]

* [Einstein Messaging Insights, Salesforce][45]

* [Einstein Engagement Frequency, Salesforce][46]

* [Einstein Engagement Scoring for Mobile, Salesforce][47]

* [Einstein Call Coaching Language Model, Salesforce][48]

* [Detect Sentiment, Salesforce][49]

* [Einstein Opportunity Scoring, Salesforce][50]

* [Generative Pretrained Transformer, Cohere][51]

* [Masked Language Model, Cohere][52]

* [Language Agnostic Link-Based Article Topic Model Card][55]

* [InstructGPT: Training Language Models to Follow Instructions with Human Feedback, OpenAI][56]

* [GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models, OpenAI][57]

* [Diffusion Models Beat GANS on Image Synthesis, Open AI][58]

* [Learning to Summarize from Human Feedback][59]

* [Scaling Language Models: Methods, Analysis & Insights from Training Gopher, DeepMind][60]

* [DALL-E Mini, Hugging Face][62]

* [Serverless Prediction of Peptide Properties with Recurrent Neural Networks][63]

* [STT En Conformer-CTC Large, Nvidia][64]

* [Towards Climate Awareness in NLP Research][65]

* [OPT: Open Pre-trained Transformer Language Models, Meta AI][66]

* [DALL-E 2, OpenAI][67]

* [PaLM: Scaling Language Modeling with Pathways, Google][68]

* [Whisper, OpenAI][70]

* [GALACTICA, Meta][71]

* [Stable Diffusion, CompVis][72]

* [InstructGPT, OpenAI][73]

* [Gopher, DeepMind][75]

* [Extract Skills, Nesta][76]

* [Skills to Taxonomy Mapping, Nesta][77]

* [GPT-4, OpenAI][85]

* [GPT-4V, OpenAI][78]

* [Claude, Anthropic][79]

* [Llama, Meta][84]

* [Llama 2, Meta][81]

* [AudioGen, Meta][82]

* [MusicGen, Meta][83]

* [Grok-1, xAI][86]

* [Gemma, Google][87]

* [CodeGemma, Google][95]

* [PaliGemma, Google][94]

* [RecurrentGemma, Google][96]

* [Claude 3, Anthropic][88]

* [GOODY-2][89]

* [Gemini Ultra, Google][92]

* [Gemini 1.5, Google][93]

* [Llama 3, Meta][91]

* [Claude 3.5 Sonnet, Anthropic][90]

* [Perspective API, Google][97]

* [MedLM, Google][98]

* [PaLM2, Google][99]

## Datasheets

* [Datasheets for Datasets][8]

* [Open Images Extended - Crowdsourced][9]

* [Crowdsourced high-quality Chilean Spanish (es-cl) multi-speaker speech dataset][18]

* [Crowdsourced high-quality Colombian Spanish (es-co) multi-speaker speech dataset][19]

* [Crowdsourced high-quality Argentinian Spanish (es-ar) speech multi-speaker dataset][20]

* [Crowdsourced high-quality Peruvian Spanish (es-pe) multi-speaker speech dataset][21]

* [Crowdsourced high-quality Venezuelan Spanish (es-ve) multi-speaker speech dataset][22]

* [DynaSent][38]

## Tools

* [Model Card Toolkit][17]

* [VerifyML][53]

* [The Model Card Authoring Toolkit: Toward Community-centered, Deliberation-driven AI Design][69]

* [Model card template][74]

* [Amazon SageMaker Model Cards][80]

## Tutorials

* [How to create and deploy a model card in the cloud with Scikit-Learn][29]

* [Using Model Card Toolkit for TF Model Transparency][30]

* [Create a Custom Model Card with Google’s Model Card Toolkit][61]

[1]: https://arxiv.org/abs/1810.03993

[2]: https://modelcards.withgoogle.com/face-detection

[3]: https://modelcards.withgoogle.com/object-detection

[4]: https://github.com/conversationai/perspectiveapi/blob/main/model-cards/English/toxicity.md

[5]: https://github.com/openai/gpt-2/blob/master/model_card.md

[8]: https://arxiv.org/abs/1803.09010

[9]: https://research.google/static/documents/datasets/open-images-extended-crowdsourced.pdf

[10]: https://drive.google.com/file/d/1fV7FsmunjDuRrsn4KYf2Efwp0FNBtcR4/view

[11]: https://arxiv.org/ftp/arxiv/papers/1911/1911.08089.pdf

[12]: https://drive.google.com/file/d/1f39lSzU5Oq-j_OXgS67KfN5wNsoeAZ4V/view

[13]: https://drive.google.com/file/d/1VFC_wIpw4O7xBOiTgUldl79d9LA-LsnA/view

[14]: https://drive.google.com/file/d/14pjkgLl3t3jiTiCFuvWGB-uAX_aVZOS5/view

[15]: https://drive.google.com/file/d/1lPwJ8BD_-3UUor4LayQ0xpa_RIC_hoRh/view

[16]: https://drive.google.com/file/d/1RCdA83a8JDV3ZPS-mtpsV8mTj3r0F9s-/view

[17]: https://github.com/tensorflow/model-card-toolkit

[18]: https://research.google/tools/datasets/chilean-spanish-tts/

[19]: https://research.google/tools/datasets/colombian-spanish-tts/

[20]: https://research.google/tools/datasets/argentinian-spanish-tts/

[21]: https://research.google/tools/datasets/peruvian-spanish-tts/

[22]: https://research.google/tools/datasets/venezuelan-spanish-tts/

[23]: https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/peoplenet

[24]: https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/trafficcamnet

[25]: https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/dashcamnet

[26]: https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/facedetectir

[27]: https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/vehicletypenet

[28]: https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/vehiclemakenet

[29]: https://cloud.google.com/blog/products/ai-machine-learning/create-a-model-card-with-scikit-learn

[30]: https://blog.tensorflow.org/2020/11/using-model-card-toolkit-for-tf-model-transparency.html

[31]: https://drive.google.com/file/d/1WvHxUONoATFJ9JpSgAF7dU_F5V58HItS/view

[32]: https://drive.google.com/file/d/1bsWbokp9AklH2ANjCfmjqEzzxO1CNbMu/view

[33]: https://drive.google.com/file/d/1tW-O4wE0SsluKNE7TLfRUgCxVFopwa1k/view

[34]: https://drive.google.com/file/d/1CMhN7Npdq0Dt2j0_z69mai2-m7oUTRKF/view

[35]: https://github.com/openai/CLIP/blob/main/model-card.md

[36]: https://github.com/openai/DALL-E/blob/master/model_card.md

[37]: https://github.com/cgpotts/dynasent/blob/main/dynasent_modelcard.md

[38]: https://github.com/cgpotts/dynasent/blob/main/dynasent_datasheet.md

[39]: https://github.com/openai/gpt-3/blob/master/model-card.md

[40]: https://github.com/salesforce/ctrl/blob/master/ModelCard.pdf

[41]: https://metamind.readme.io/docs/einstein-ocr-model-card

[42]: https://developers.google.com/ml-kit/images/vision/selfie-segmentation/selfie-model-card.pdf

[43]: https://github.com/salesforce/ctrl-detector/blob/master/ModelCard.pdf

[44]: https://github.com/salesforce/ai-economist/blob/master/Simulation_Card_Foundation_Economic_Simulation_Framework.pdf

[45]: https://help.salesforce.com/articleView?id=sf.mc_anb_einstein_messaging_insights_model_card.htm&type=5

[46]: https://help.salesforce.com/articleView?id=sf.mc_anb_einstein_engagement_frequency_model_card.htm&type=5

[47]: https://help.salesforce.com/articleView?id=sf.mc_anb_einstein_engagement_scoring_for_mobile_model_card.htm&type=5

[48]: https://einstein.ai/pdf/sales-call-coaching.pdf

[49]: https://help.salesforce.com/articleView?id=sf.bi_integrate_transformation_detectSentimentModelCard.htm&type=5

[50]: https://resources.docs.salesforce.com/latest/latest/en-us/sfdc/pdf/salesforce_ai_model_cards.pdf

[51]: https://docs.cohere.ai/generation-card

[52]: https://docs.cohere.ai/representation-card

[53]: https://www.verifyml.com

[54]: https://arxiv.org/abs/2110.13601

[55]: https://meta.wikimedia.org/wiki/User:HTriedman_(WMF)/Language_Agnostic_Link-Based_Article_Topic_Model_Card

[56]: https://github.com/openai/following-instructions-human-feedback/blob/main/model-card.md

[57]: https://github.com/openai/glide-text2im/blob/main/model-card.md

[58]: https://github.com/openai/guided-diffusion/blob/main/model-card.md

[59]: https://github.com/openai/summarize-from-feedback/blob/master/model_card.md

[60]: https://arxiv.org/abs/2112.11446

[61]: https://towardsdatascience.com/create-a-custom-model-card-with-googles-model-card-toolkit-a1e89a7887b5

[62]: https://huggingface.co/dalle-mini/dalle-mini

[63]: https://peptide.bio

[64]: https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/stt_en_conformer_ctc_large

[65]: https://arxiv.org/abs/2205.05071

[66]: https://arxiv.org/abs/2205.01068

[67]: https://github.com/openai/dalle-2-preview/blob/main/system-card.md

[68]: https://arxiv.org/abs/2204.02311

[69]: https://www.andrew.cmu.edu/user/hongs/files/facct22-modelcardauthoring.pdf

[70]: https://github.com/openai/whisper/blob/main/model-card.md

[71]: https://github.com/paperswithcode/galai/blob/main/docs/model_card.md

[72]: https://github.com/CompVis/stable-diffusion/blob/main/Stable_Diffusion_v1_Model_Card.md

[73]: https://github.com/openai/following-instructions-human-feedback/blob/main/model-card.md

[74]: https://meta.wikimedia.org/wiki/Machine_learning_models/Model_card_template

[75]: https://arxiv.org/pdf/2112.11446.pdf

[76]: https://nestauk.github.io/ojd_daps_skills/build/html/model_card.html#extract_skills_card

[77]: https://nestauk.github.io/ojd_daps_skills/build/html/model_card.html#mapping_card

[78]: https://cdn.openai.com/papers/GPTV_System_Card.pdf

[79]: https://www-files.anthropic.com/production/images/Model-Card-Claude-2.pdf

[80]: https://docs.aws.amazon.com/sagemaker/latest/dg/model-cards.html

[81]: https://ai.meta.com/research/publications/llama-2-open-foundation-and-fine-tuned-chat-models/

[82]: https://github.com/facebookresearch/audiocraft/blob/main/model_cards/AUDIOGEN_MODEL_CARD.md

[83]: https://github.com/facebookresearch/audiocraft/blob/main/model_cards/MUSICGEN_MODEL_CARD.md

[84]: https://github.com/facebookresearch/llama/blob/main/MODEL_CARD.md

[85]: https://cdn.openai.com/papers/gpt-4-system-card.pdf

[86]: https://x.ai/model-card/

[87]: https://ai.google.dev/gemma/docs/model_card

[88]: https://www.anthropic.com/claude-3-model-card

[89]: https://www.goody2.ai/goody2-modelcard.pdf

[90]: https://www-cdn.anthropic.com/fed9cc193a14b84131812372d8d5857f8f304c52/Model_Card_Claude_3_Addendum.pdf

[91]: https://github.com/meta-llama/llama3/blob/main/MODEL_CARD.md

[92]: https://arxiv.org/abs/2312.11805

[93]: https://storage.googleapis.com/deepmind-media/gemini/gemini_v1_5_report.pdf

[94]: https://ai.google.dev/gemma/docs/paligemma/model-card

[95]: https://ai.google.dev/gemma/docs/codegemma/model_card

[96]: https://ai.google.dev/gemma/docs/recurrentgemma/model_card

[97]: https://developers.perspectiveapi.com/s/about-the-api-model-cards?language=en_US

[98]: https://cloud.google.com/static/vertex-ai/generative-ai/docs/medlm/MedLM-model-card.pdf

[99]: https://ai.google/static/documents/palm2techreport.pdf#page=92