control-image-generation-with-controlnet
credit-card-fraud-detection
depth2image-stable-diffusion
dimensionality-reduction-feature-selection
edit-images-instruct-pix2pix
facial-recognition-system
finetuning-vit-image-classification
handling-inbalance-churn-data
image-classifier-using-transfer-learning
image-segmentation-transformers
k-fold-cross-validation-sklearn
kmeans-image-segmentation
logistic-regression-in-pytorch
semantic-textual-similarity
speech-recognition-transformers
text-generation-transformers
tokenization-stemming-lemmatization
optical-character-recognition
recommender-system-using-association-rules
satellite-image-classification
speech-emotion-recognition
stable-diffusion-upscaler
visual-question-answering
This branch is up to date with x4nth055/pythoncode-tutorials:master .
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To run this:
pip3 install -r requirements.txtIf you want to use scripts, consider train.py and test.py
The notebook finetune-bert.ipynb is suggested.
You can also follow on Google Colab:
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