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Examples of using Galileo for better ML data quality!!

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Galileo Examples

Notebook examples on using Galileo for various machine learning tasks.

LLM examples

Sequence to Sequence

Framework Github Colab
PyTorch (Encoder-Decoder model) github link Open In Colab
Auto Logger github link Open In Colab
Chat with Auto github link Open In Colab
Integrate with API github link Open In Colab

NLP examples

Text Classification

Framework Github Colab
HuggingFace github link Open In Colab
PyTorch github link Open In Colab
Keras github link Open In Colab
TensorFlow github link Open In Colab

Named Entity Recognition

Framework Github Colab
SpaCy github link Open In Colab
SpaCy Inference github link Open In Colab
TensorFlow github link Open In Colab
PyTorch github link Open In Colab
HuggingFace github link Open In Colab

Natural Language Inference

Framework Github Colab
TensorFlow github link Open In Colab
PyTorch github link Open In Colab

Multilabel Text Classification

Framework Github Colab
PyTorch github link Open In Colab
Tensorflow github link Open In Colab

CV examples

Image Classification

Framework Github Colab
PyTorch (data in DataFrame) + inference github link Open In Colab
PyTorch (data with ImageFolder) + inference github link Open In Colab
PyTorch (data from HuggingFace) github link Open In Colab

Object Detection

Framework Github Colab
Ultralytics (YOLOv8) github link Open In Colab

Semantic Segmentation

Framework Github Colab
PyTorch github link Open In Colab

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