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May 17, 2025
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Fix README mismatches #208

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14 changes: 7 additions & 7 deletions README.md
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Expand Up @@ -63,16 +63,16 @@ etc.
| [Gamesense](gamesense) | 🤖 LLMOps | 🧠 LoRA, ⚡ Efficient Training | pytorch, peft, phi-2 |
| [Nightwatch AI](nightwatch-ai) | 🤖 LLMOps | 📝 Summarization, 📊 Reporting | openai, supabase, slack |
| [ResearchRadar](research-radar) | 🤖 LLMOps | 📝 Classification, 📊 Comparison | anthropic, huggingface, transformers |
| [End-to-end Computer Vision](end-to-end-computer-vision) | 👁️ Vision | 🎯 Object Detection, 🏷️ Labeling | pytorch, label_studio, yolov8 |
| [Magic Photobooth](magic-photobooth) | 👁️ Vision | 🖼️ Image Gen, 🎬 Video Gen | stable-diffusion, huggingface |
| [OmniReader](omni-reader) | 👁️ Vision | 📝 OCR, 📊 Evaluation, 🔄 Batch Processing | polars, litellm, openai, ollama |
| [End-to-end Computer Vision](end-to-end-computer-vision) | 👁 Computer Vision | 🔎 Object Detection, 🏷️ Labeling | pytorch, label_studio, yolov8 |
| [Magic Photobooth](magic-photobooth) | 👁 Computer Vision | 📷 Image Gen, 🎞️ Video Gen | stable-diffusion, huggingface |
| [OmniReader](omni-reader) | 👁 Computer Vision | 📑 OCR, 📊 Evaluation, ⚙️ Batch Processing | polars, litellm, openai, ollama |
| [Oncoclear](oncoclear) | 🚀 MLOps | 📦 Deployment, 🔄 CI/CD | docker, kubernetes, scikit-learn |
| [Sign Language Detection](sign-language-detection-yolov5) | 👁️ Vision | 🎯 Object Detection, ⚡ Real-time | mlflow, bentoml, vertex-ai |
| [Sign Language Detection](sign-language-detection-yolov5) | 👁 Computer Vision | 🔎 Object Detection, ⚡ Real-time | mlflow, bentoml, vertex-ai |
| [Huggingface to Sagemaker](huggingface-sagemaker) | 🚀 MLOps | 🔄 CI/CD, 📦 Deployment | mlflow, sagemaker, kubeflow |
| [Databricks Production QA](databricks-production-qa-demo) | 🚀 MLOps | 📊 Monitoring, 🔍 Quality Assurance | databricks, evidently, shap |
| [Eurorate Predictor](eurorate-predictor) | 📊 Data | ⏱️ Time Series, 🔄 ETL | airflow, bigquery, xgboost |
| [RetailForecast](retail-forecast) | 📊 Data | ⏱️ Time Series, 📈 Forecasting, 🔮 Multi-Model | prophet, zenml, pandas |
| [Bank Subscription Prediction](bank_subscription_prediction) | 📊 Data | 💼 Classification, ⚖️ Imbalanced Data, 🎯 Feature Selection | xgboost, plotly, zenml |
| [Eurorate Predictor](eurorate-predictor) | 📊 Data | ⏱️ Time Series, 🧹 ETL | airflow, bigquery, xgboost |
| [RetailForecast](retail-forecast) | 📊 Data | ⏱️ Time Series, 📈 Forecasting, 🔄 Multi-Model | prophet, zenml, pandas |
| [Bank Subscription Prediction](bank_subscription_prediction) | 📊 Data | 💼 Classification, ⚖️ Imbalanced Data, 🔍 Feature Selection | xgboost, plotly, zenml |

# 💻 System Requirements

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2 changes: 1 addition & 1 deletion huggingface-sagemaker/README.md
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Expand Up @@ -98,7 +98,7 @@ To run this project, you need to create a [ZenML Stack](https://docs.zenml.io/us
```shell
make install-stack

zenml stack hf-sagekamer-local
zenml stack set hf-sagemaker-local
```

Additionally, if you're using the local Docker orchestrator, you'll need to create a cache directory for the datasets and ensure it has the correct permissions:
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2 changes: 1 addition & 1 deletion magic-photobooth/README.md
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Expand Up @@ -49,7 +49,7 @@ Behind the scenes, Magic Photobooth employs Low-Rank Adaptation (LoRA) technolog
git clone https://github.com/zenml-io/zenml-projects.git

# Navigate to Magic Photobooth
cd zenml-projects/flux-dreambooth
cd zenml-projects/magic-photobooth

# Install dependencies
pip install -r requirements.txt
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1 change: 0 additions & 1 deletion sign-language-detection-yolov5/README.md
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Expand Up @@ -56,7 +56,6 @@ git clone https://github.com/zenml-io/zenml-projects.git
git submodule update --init --recursive
cd zenml-projects/sign-language-detection-yolov5
pip install -r requirements.txt
pip install -r yolov5/requirements.txt
```

Starting with ZenML 0.20.0, ZenML comes bundled with a React-based dashboard. This dashboard allows you to observe your stacks, stack components and pipeline DAGs in a dashboard interface. To access this, you need to [launch the ZenML Server and Dashboard locally](https://docs.zenml.io/user-guides/starter-guide#explore-the-dashboard), but first you must install the optional dependencies for the ZenML server:
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