By dramatically improving state-of-the-art performance across a wide range of tasks and revealing new emergent skills, large language models (LLMs) have profoundly impacted NLP research and applications. To encode input texts into representation vectors, the encoder-only...
A common machine learning architecture today is the transformer architecture. One of the main parts of the transformer, attention, has a softmax that generates a probability distribution across tokens. Parallelization is difficult with Softmax since it...
Graph Transformer Networks (GTN) is an open-source framework with weighted finite-state transducers (WFSTs), a powerful and expressive type of graph. GTN, just like PyTorch,...
Whenever any data scientist thinks of developing a pipeline, they try bringing automated machine learning into the picture to make the task easier. However,...
Here is the list of selected Data Science and Machine Learning GitHub Repositories to Try in 2019
Paper with Code
Facebook’s Detectron
Training a Model on the...
First Steps with TensorFlow: ToolkitGoogle + open-source = TensorFlow 9 Things You Should Know About TensorFlowDeep Learning with TensorFlow in Python TensorFlow Tutorial For BeginnersImage Segmentation...
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