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add omni-reader project to table in README #203

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35 changes: 18 additions & 17 deletions README.md
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Expand Up @@ -51,25 +51,26 @@ integrations.</h3>

This repository showcases production-grade ML use cases built with ZenML.
The goal of this repository is to provide you a ready-to-use MLOps workflow that
you can adapt for your application. We maintain a growing list of projects
from various ML domains including time-series, tabular data, computer vision,
you can adapt for your application. We maintain a growing list of projects
from various ML domains including time-series, tabular data, computer vision,
etc.

| Project | Domain | Key Features | Core Technologies |
|---------|--------|-------------|-------------------|
| [ZenML Support Agent](zenml-support-agent) | 🤖 LLMOps | 🔍 RAG, 📊 Vector DB, 💬 Conversational | langchain, llama_index, openai |
| [ZenCoder](zencoder) | 🤖 LLMOps | 🧠 Fine-tuning, 📈 Transfer Learning | huggingface, pytorch, wandb |
| [Complete Guide to LLMs](llm-complete-guide) | 🤖 LLMOps | 🔍 RAG, 🧠 Fine-tuning, 📊 Evaluation | openai, huggingface, anthropic |
| [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 |
| [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 |
| [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 |
| Project | Domain | Key Features | Core Technologies |
| --------------------------------------------------------- | --------- | ------------------------------------------ | ------------------------------------ |
| [ZenML Support Agent](zenml-support-agent) | 🤖 LLMOps | 🔍 RAG, 📊 Vector DB, 💬 Conversational | langchain, llama_index, openai |
| [ZenCoder](zencoder) | 🤖 LLMOps | 🧠 Fine-tuning, 📈 Transfer Learning | huggingface, pytorch, wandb |
| [Complete Guide to LLMs](llm-complete-guide) | 🤖 LLMOps | 🔍 RAG, 🧠 Fine-tuning, 📊 Evaluation | openai, huggingface, anthropic |
| [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 |
| [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 |
| [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 |

# 💻 System Requirements

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