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add credit-scorer to zenml-projects README.md
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‎README.md

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@@ -50,25 +50,26 @@ you can adapt for your application. We maintain a growing list of projects
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from various ML domains including time-series, tabular data, computer vision,
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etc.
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| Project | Domain | Key Features | Core Technologies |
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| --------------------------------------------------------- | --------- | ------------------------------------------ | ------------------------------------ |
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| [ZenML Support Agent](zenml-support-agent) | 🤖 LLMOps | 🔍 RAG, 📊 Vector DB, 💬 Conversational | langchain, llama_index, openai |
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| [ZenCoder](zencoder) | 🤖 LLMOps | 🧠 Fine-tuning, 📈 Transfer Learning | huggingface, pytorch, wandb |
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| [Complete Guide to LLMs](llm-complete-guide) | 🤖 LLMOps | 🔍 RAG, 🧠 Fine-tuning, 📊 Evaluation | openai, huggingface, anthropic |
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| [Gamesense](gamesense) | 🤖 LLMOps | 🧠 LoRA, ⚡ Efficient Training | pytorch, peft, phi-2 |
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| [Nightwatch AI](nightwatch-ai) | 🤖 LLMOps | 📝 Summarization, 📊 Reporting | openai, supabase, slack |
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| [ResearchRadar](research-radar) | 🤖 LLMOps | 📝 Classification, 📊 Comparison | anthropic, huggingface, transformers |
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| [End-to-end Computer Vision](end-to-end-computer-vision) | 👁 CV | 🔎 Object Detection, 🏷️ Labeling | pytorch, label_studio, yolov8 |
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| [Magic Photobooth](magic-photobooth) | 👁 CV | 📷 Image Gen, 🎞️ Video Gen | stable-diffusion, huggingface |
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| [OmniReader](omni-reader) | 👁 CV | 📑 OCR, 📊 Evaluation, ⚙️ Batch Processing | polars, litellm, openai, ollama |
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| [Sign Language Detection](sign-language-detection-yolov5) | 👁 CV | 🔎 Object Detection, ⚡ Real-time | mlflow, bentoml, vertex-ai |
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| [Oncoclear](oncoclear) | 🚀 MLOps | 📦 Deployment, 🔄 CI/CD | docker, kubernetes, scikit-learn |
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| [Huggingface to Sagemaker](huggingface-sagemaker) | 🚀 MLOps | 🔄 CI/CD, 📦 Deployment | mlflow, sagemaker, kubeflow |
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| [Databricks Production QA](databricks-production-qa-demo) | 🚀 MLOps | 📊 Monitoring, 🔍 Quality Assurance | databricks, evidently, shap |
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| [Vertex Registry and Deployer](vertex-registry-and-deployer) | 🚀 MLOps | 📦 Model Registry, 🚀 Deployment | vertex, gcp, zenml |
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| [Eurorate Predictor](eurorate-predictor) | 📊 Data | ⏱️ Time Series, 🧹 ETL | airflow, bigquery, xgboost |
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| [RetailForecast](retail-forecast) | 📊 Data | ⏱️ Time Series, 📈 Forecasting, 🔄 Multi-Model | prophet, zenml, pandas |
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| [Bank Subscription Prediction](bank_subscription_prediction) | 📊 Data | 💼 Classification, ⚖️ Imbalanced Data, 🔍 Feature Selection | xgboost, plotly, zenml |
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| Project | Domain | Key Features | Core Technologies |
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| ------------------------------------------------------------ | --------- | ----------------------------------------------------------- | ------------------------------------ |
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| [ZenML Support Agent](zenml-support-agent) | 🤖 LLMOps | 🔍 RAG, 📊 Vector DB, 💬 Conversational | langchain, llama_index, openai |
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| [ZenCoder](zencoder) | 🤖 LLMOps | 🧠 Fine-tuning, 📈 Transfer Learning | huggingface, pytorch, wandb |
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| [Complete Guide to LLMs](llm-complete-guide) | 🤖 LLMOps | 🔍 RAG, 🧠 Fine-tuning, 📊 Evaluation | openai, huggingface, anthropic |
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| [Gamesense](gamesense) | 🤖 LLMOps | 🧠 LoRA, ⚡ Efficient Training | pytorch, peft, phi-2 |
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| [Nightwatch AI](nightwatch-ai) | 🤖 LLMOps | 📝 Summarization, 📊 Reporting | openai, supabase, slack |
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| [ResearchRadar](research-radar) | 🤖 LLMOps | 📝 Classification, 📊 Comparison | anthropic, huggingface, transformers |
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| [End-to-end Computer Vision](end-to-end-computer-vision) | 👁 CV | 🔎 Object Detection, 🏷️ Labeling | pytorch, label_studio, yolov8 |
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| [Magic Photobooth](magic-photobooth) | 👁 CV | 📷 Image Gen, 🎞️ Video Gen | stable-diffusion, huggingface |
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| [OmniReader](omni-reader) | 👁 CV | 📑 OCR, 📊 Evaluation, ⚙️ Batch Processing | polars, litellm, openai, ollama |
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| [Sign Language Detection](sign-language-detection-yolov5) | 👁 CV | 🔎 Object Detection, ⚡ Real-time | mlflow, bentoml, vertex-ai |
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| [Oncoclear](oncoclear) | 🚀 MLOps | 📦 Deployment, 🔄 CI/CD | docker, kubernetes, scikit-learn |
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| [Huggingface to Sagemaker](huggingface-sagemaker) | 🚀 MLOps | 🔄 CI/CD, 📦 Deployment | mlflow, sagemaker, kubeflow |
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| [Databricks Production QA](databricks-production-qa-demo) | 🚀 MLOps | 📊 Monitoring, 🔍 Quality Assurance | databricks, evidently, shap |
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| [Vertex Registry and Deployer](vertex-registry-and-deployer) | 🚀 MLOps | 📦 Model Registry, 🚀 Deployment | vertex, gcp, zenml |
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| [Eurorate Predictor](eurorate-predictor) | 📊 Data | ⏱️ Time Series, 🧹 ETL | airflow, bigquery, xgboost |
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| [RetailForecast](retail-forecast) | 📊 Data | ⏱️ Time Series, 📈 Forecasting, 🔄 Multi-Model | prophet, zenml, pandas |
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| [Bank Subscription Prediction](bank_subscription_prediction) | 📊 Data | 💼 Classification, ⚖️ Imbalanced Data, 🔍 Feature Selection | xgboost, plotly, zenml |
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| [Credit Scorer](credit-scorer) | 📊 Data | 💰 Credit Risk, 📊 Explainability, 🇪🇺 EU AI Act | scikit-learn, fairlearn, zenml |
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# 💻 System Requirements
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## Code Quality
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All code contributions must pass our automated code quality checks:
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- **Code Formatting**: We use [ruff](https://github.com/astral-sh/ruff) for code formatting and linting
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- **Spelling**: We check for typos and spelling errors
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- **Markdown Links**: We verify that all links in documentation work properly
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By far the easiest and fastest way to get help is to:
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* Ask your questions in [our Slack group](https://zenml.io/slack/).
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* [Open an issue](https://github.com/zenml-io/zenml-dashboard/issues/new/choose)
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- Ask your questions in [our Slack group](https://zenml.io/slack/).
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- [Open an issue](https://github.com/zenml-io/zenml-dashboard/issues/new/choose)
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on our GitHub repo.
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# 🔥 About ZenML
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the Apache License Version 2.0.
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# 📖 Learn More
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| ZenML Resources | Description |
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|-----------------------------|----------------------------------------------------|
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| 🧘 **[ZenML 101]** | New to ZenML? Here's everything you need to know! |
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| ⚛ **[Core Concepts]** | Understand ZenML's building blocks. |
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| 🚀 **[Our latest release]** | New features, bug fixes. |
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| 🗳 **[Vote for Features]** | Pick what we work on next! |
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| 📓 **[Docs]** | Full documentation for creating your own ZenML pipelines. |
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| 📒 **[API Reference]** | Detailed reference on ZenML's API. |
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| ⚽ **[Examples]** | Explore more sample projects. |
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| ZenML Resources | Description |
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| --------------------------- | --------------------------------------------------------------- |
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| 🧘 **[ZenML 101]** | New to ZenML? Here's everything you need to know! |
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| ⚛ **[Core Concepts]** | Understand ZenML's building blocks. |
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| 🚀 **[Our latest release]** | New features, bug fixes. |
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| 🗳 **[Vote for Features]** | Pick what we work on next! |
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| 📓 **[Docs]** | Full documentation for creating your own ZenML pipelines. |
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| 📒 **[API Reference]** | Detailed reference on ZenML's API. |
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| ⚽ **[Examples]** | Explore more sample projects. |
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| 📬 **[Blog]** | Use cases of ZenML and technical deep dives on how we built it. |
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| 🔈 **[Podcast]** | Conversations with leaders in ML, released every 2 weeks. |
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| 💬 **[Join Slack]** | Need help with your specific use case? Say hi on Slack! |
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| 🗺 **[Roadmap]** | See where ZenML is working to build new features. |
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| 🙋 **[Contribute]** | Got a PR or feature request? Start here. |
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| 🔈 **[Podcast]** | Conversations with leaders in ML, released every 2 weeks. |
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| 💬 **[Join Slack]** | Need help with your specific use case? Say hi on Slack! |
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| 🗺 **[Roadmap]** | See where ZenML is working to build new features. |
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| 🙋 **[Contribute]** | Got a PR or feature request? Start here. |
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[ZenML 101]: https://docs.zenml.io/user-guides/starter-guide
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[Core Concepts]: https://docs.zenml.io/getting-started/core-concepts
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[Our latest release]: https://github.com/zenml-io/zenml/releases
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[Podcast]: https://podcast.zenml.io/
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[Join Slack]: https://zenml.io/slack-invite/
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[Roadmap]: https://zenml.io/roadmap
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[Contribute]: https://github.com/zenml-io/zenml/blob/main/CONTRIBUTING.md
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[Contribute]: https://github.com/zenml-io/zenml/blob/main/CONTRIBUTING.md

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