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 | |
Auto Logger | github link | |
Chat with Auto | github link | |
Integrate with API | github link |
NLP examples
Text Classification
Framework | Github | Colab |
---|---|---|
HuggingFace | github link | |
PyTorch | github link | |
Keras | github link | |
TensorFlow | github link |
Named Entity Recognition
Framework | Github | Colab |
---|---|---|
SpaCy | github link | |
SpaCy Inference | github link | |
TensorFlow | github link | |
PyTorch | github link | |
HuggingFace | github link |
Natural Language Inference
Framework | Github | Colab |
---|---|---|
TensorFlow | github link | |
PyTorch | github link |
Multilabel Text Classification
Framework | Github | Colab |
---|---|---|
PyTorch | github link | |
Tensorflow | github link |
CV examples
Image Classification
Framework | Github | Colab |
---|---|---|
PyTorch (data in DataFrame) + inference | github link | |
PyTorch (data with ImageFolder) + inference | github link | |
PyTorch (data from HuggingFace) | github link |
Object Detection
Framework | Github | Colab |
---|---|---|
Ultralytics (YOLOv8) | github link |
Semantic Segmentation
Framework | Github | Colab |
---|---|---|
PyTorch | github link |