Comparison of optical and silicon-based neural network implementations. حسب Reyhane Ahmadi (14857363)

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Comparison of power consumption in optical and silicon-based neural network implementations. حسب Reyhane Ahmadi (14857363)

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Data and code resources. حسب Sam Hall-McMaster (10343795)

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Hardware_code. حسب Mehdi Nadiri Andabili (22097275)

"…In this paper, the modified Fitzhugh-Nagumo (FHN) model is proposed based on Coordinate Rotation Digital Computer (CORDIC) algorithm to emulate biological behaviors of the original neuron model. …"

Software_code. حسب Mehdi Nadiri Andabili (22097275)

"…In this paper, the modified Fitzhugh-Nagumo (FHN) model is proposed based on Coordinate Rotation Digital Computer (CORDIC) algorithm to emulate biological behaviors of the original neuron model. …"

COMET: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets حسب Haojie Wang (3072141)

"…We have developed a computational target-fishing method, termed COMET, which integrates ligand-based similarity scores with target-based binding scores into a random forest algorithm for target ranking. …"

COMET: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets حسب Haojie Wang (3072141)

"…We have developed a computational target-fishing method, termed COMET, which integrates ligand-based similarity scores with target-based binding scores into a random forest algorithm for target ranking. …"

COMET: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets حسب Haojie Wang (3072141)

"…We have developed a computational target-fishing method, termed COMET, which integrates ligand-based similarity scores with target-based binding scores into a random forest algorithm for target ranking. …"

The relevant data file for this article. حسب Linsha Liu (20378293)

Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code حسب Goutami Sooda (20714729)

PATH has state-of-the-art performance versus previous binding affinity prediction algorithms. حسب Yuxi Long (11024307)

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Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks حسب Balázs Mészáros (16890225)

"…<p dir="ltr">The data in this repository accompanies the paper 'Efficient Event-based Delay Learning in Spiking Neural Networks'</p><p dir="ltr">The data relates to 4 benchmarks:</p><ol><li>Spiking Heidelberg Digits (SHD).…"

Scatter plots of PATH⁺ and our implementation of TNet-BP’s predictions on a held-out, test subset of PDBBind v2020 refined set for one run (90:10 train:test split ratio,... حسب Yuxi Long (11024307)

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Parameter configuration for ChildEmoNet algorithm implementation. حسب Zhang Shanshan (22272359)

Different implementations on MNIST object detection accuracy (%) with input image size. حسب Reyhane Ahmadi (14857363)

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Relevant computed image data. حسب Zhaoyu Ku (20660546)

Accuracy of different electrical and optical neural networks for various input noise levels. حسب Reyhane Ahmadi (14857363)

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Illustration of the recursive objective space exploration process implemented by the ROSE algorithm. حسب Ihab Hashem (21156806)

Accuracy of different electrical and optical neural network on Caltech and ETH-80 data sets. حسب Reyhane Ahmadi (14857363)

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Summary of relevant works. حسب Bashir Olaniyi Sadiq (22478011)