OpenBabel FP4 fingerprint, which is a fingerprint method created from a set of SMARTS patterns defining functional groups. **spectrophore** Openbabel implementation of the spectrophore fingerprint (https://github.com/silicos-it/spectrophore). **mol2vec**: Unsupervised machine learning approach for...
This fingerprint sensor comes with round breathing LEDs and has a simple structure, small size, and delicate appearance. The sensor offers fast recognition speed and high security. What’s more, it supports 360-degree arbitrary angle recognition and deep self-learning function, high performance and...
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and are based on complex deep learning architectures. Here we present the differential reaction fingerprintDRFP. TheDRFPalgorithm takes a reaction SMILES as an input and creates a binary fingerprint based on the symmetric difference of two sets containing the circular molecular n-grams generated from...
Fingerprint recognition is now a common, well known and generally accepted form of biometric authentication. The popularity of fingerprint recognition also makes it the focus of many studies which aim to constantly improve the technology in terms of fact
Official Implementation for "Seq2seq Fingerprint: An Unsupervised Deep Molecular Embedding for Drug Discovery". - XericZephyr/seq2seq-fingerprint
Hi all, I am following Vitis-AI tutorial "PyTorch flow for Vitis-AI": https://github.com/Xilinx/Vitis-AI-Tutorials/blob/1.4/Design_Tutorials/09-mnist_pyt/README.md I got through everything without a problem to the step where I try to lau...
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Despite recent advances in the CV and NLP domains, the integration of Transformer-based architectures for supervised learning has seen limited exploration in the Inertial Measurement Unit- (IMU) based Human Activity Recognition (HAR) domain. The work by Shavit et al. [44] laid the foundation, em...