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Give a brief overview of the libraries, frameworks and key concepts you've used.
Briefly describe what each one does.
Here you may also describe any decisions you have made.
An example of this would be justifying why PyTorch was used over TensorFlow.
Feel free to just do a number of dot points like below:
PyTorch - Pythonic Neural Network library for Deep Learning
PyTorch-Lightning - A standard way to write PyTorch code (for research projects)
Apache Spark - Preprocess large amounts of data efficiently
AllenNLP - Experimental library for research into Natural Language Processing (used instead of Hugging Face Transformers for extra flexibility and modularity)
The text was updated successfully, but these errors were encountered:
Give a brief overview of the libraries, frameworks and key concepts you've used.
Briefly describe what each one does.
Here you may also describe any decisions you have made.
An example of this would be justifying why PyTorch was used over TensorFlow.
Feel free to just do a number of dot points like below:
The text was updated successfully, but these errors were encountered: