A machine learning software for extracting information from scholarly documents
- machine-learning
- scientific-articles
- metadata
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A machine learning software for extracting information from scholarly documents
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
CPU and GPU-accelerated Machine Learning Library
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
A versatile, fully open-source pipeline to extract phenotypic measurements from plant images