Instructions to use FIVE-MGI/Single_Neuron_Identification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use FIVE-MGI/Single_Neuron_Identification with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("FIVE-MGI/Single_Neuron_Identification") - Notebooks
- Google Colab
- Kaggle
metadata
license: agpl-3.0
language:
- en
datasets:
- FIVE-MGI/SNIM20
Single Neuron (or Cell) Identification
This model is designed for image classification and identifying rafts or regions that have single neurons and are trained on [FIVE-MGI/SNIM20].
Research Paper
For more detailed information, please refer to our bioRxiv paper: Classification of iPSC-Derived Cultures Using Convolutional Neural Networks to Identify Single Differentiated Neurons for Isolation or Measurement