ktrain
TSAI-DeepNLP-END2.0
ktrain | TSAI-DeepNLP-END2.0 | |
---|---|---|
2 | 1 | |
1,211 | 0 | |
- | - | |
8.4 | 0.0 | |
29 days ago | over 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
Apache License 2.0 | MIT License |
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ktrain
- Use TensorFlow to run basic regressions like Google AutoML (tabular)
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Increase accuracy of NLP sentiment analysis?
Could be the last resort: pre-trained transformers through ktrain (ktrain has very detailed tutorials and examples)
TSAI-DeepNLP-END2.0
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Tutorials/walkthroughs of torchtext 0.9 anywhere?
I've written some examples using the new API, can be found here: https://github.com/extensive-nlp/TSAI-DeepNLP-END2.0/blob/main/05_NLP_Augment/SSTModel.ipynb
What are some alternatives?
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text - Models, data loaders and abstractions for language processing, powered by PyTorch
Deep-Learning-Computer-Vision - My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.
do-it-in-keras - Modern Deep Learning architectures and tasks implemented in Keras.
Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)
konfuzio-sdk - OCR, extract and classify documents. In addition, annotate documents and build your own NLP and Computer Vision models using Python by downloading the data. Find examples in our Colab Notebooks, e. g. how to fine-tune Flair.
text_analytics_intro - Materials for Text Analysis workshops
tableQA-Chinese - Unsupervised tableQA and databaseQA on chinese finance question and tabular data