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88 results found

Theory aware Machine Learning (TaML)

Data provided by  National Institute of Standards and Technology

A code repository and accompanying data for incorporating imperfect theory into machine learning for improved prediction and explainability. Specifically, it focuses on the case study of the dimensions of a polymer chain in different solvent qualities. Jupyter Notebooks for quickly testing concepts and reproducing figures, as well as source code that computes the mean squared error as a function of dataset size for various machine learning models are included.For additional details on the data, please refer to the README.md associated with the data.

Tags: polymers,machine learning,transfer learning,theory,

Modified: 2024-02-22

Views: 0

SolDet: Solitonic feature detection package

Data provided by  National Institute of Standards and Technology

SolDet is an object-oriented package for solitonic feature detection in absorption images of Bose-Einstein condensate. with wider use for cold atom image analysis. Featured with classifier, object detector, and Mexican hat metric methods. Technical details are explained in https://arxiv.org/abs/2111.04881.

Tags: soliton,machine learning,python package,

Modified: 2024-02-22

Views: 0

Software for Evaluating Convolutional Generative Adversarial Networks with Classical Random Process Noise Models

Data provided by  National Institute of Standards and Technology

This research software package contains Python code to execute experiments on deep generative modeling of classical random process models for noise time series. Specifically, it includes Pytorch implementations of two generative adversarial network (GAN) models for time series based on convolutational neural networks (CNNs): WaveGAN, a 1-D CNN model, and STFT-GAN, a 2-D CNN model. In addition, there are methods for generating and evaluating noise time series defined several by classical random process models.

Tags: time series,machine learning,band-limited noise,power law noise,shot noise,impulsive noise,colored noise,fractional Gaussian noise,fractional Brownian motion,

Modified: 2024-02-22

Views: 0

Segmentation of lipid nanoparticles from cryogenic electron microscopy images

Data provided by  National Institute of Standards and Technology

Lipid nanoparticles (LNPs) were prepared as described (https://doi.org/10.1038/s42003-021-02441-2) using the lipids DLin-KC2-DMA, DSPC, cholesterol, and PEG-DMG2000 at mol ratios of 50:10:38.5:1.5. Four sample types were prepared: LNPs in the presence and absence of RNA, and with LNPs ejected into pH 4 and pH 7.4 buffer after microfluidic assembly. To prepare samples for imaging, 3 ?L of LNP formulation was applied to holey carbon grids (Quantifoil, R3.5/1, 200 mesh copper).

Tags: Lipid Nanoparticle,LNP,cryogenic electron microscopy,CryoEM,machine learning,ai,mRNA,

Modified: 2024-02-22

Views: 0

The Artificial Intelligence Patent Dataset (AIPD) for Academia and Researchers

Data provided by  United States Patent and Trademark Office

Contains Artificial Intelligence Patent Landscape data classifying 13,244,037 granted patents and PGPubs published from 1976 through 2021 in eight AI component technologies using state-of-the art machine learning based models.

Tags: ai,tsv,dta,uspto,artificial,intelligence,machine,learning,patent,patent grant,pgpub,pre-grant,published patent application,classification,landscape,

Modified: 2024-02-22

Views: 0

Bulk Data Storage System (BDSS) API (Version 1.1.0)

Data provided by  United States Patent and Trademark Office

The Bulk Data Storage System (BDSS) API allows the public to discover, search by date, and download patent and trademark data within BDSS in bulk form.

Tags: patent,trademark,uspto,bulk,bdss,api,

Modified: 2024-02-22

Views: 0

Bulk Search and Download (BSD) API (Version 1.0.0)

Data provided by  United States Patent and Trademark Office

The Bulk Search and Download API allows searching published patent applications (pre-grant publications, pgpubs) and issued patents (patent grants) across various fields from 2001 to present, and to request a custom zip package for the given patent application or patent ids. Download up to 100 document numbers at a time. Wait time can vary based on the number of requests being processed.

Tags: uspto,patent,patent grant,published patent application,pre-grant,pgpub,api,

Modified: 2024-02-22

Views: 0

Cancer Moonshot Patent Data Files for Academia and Researchers (1976 - 2016)

Data provided by  United States Patent and Trademark Office

This curated dataset consists of 269,353 patent documents (published patent applications and granted patents) spanning the 1976 to 2016 period and is intended to help identify promising R&D on the horizon in diagnostics, therapeutics, data analytics, and model biological systems.

Tags: csv,uspto,cancer,moonshot,curated,patent,patent application,

Modified: 2024-02-22

Views: 0

Cancer Moonshot Patent Data Set API (Version 1.0.1)

Data provided by  United States Patent and Trademark Office

The Cancer Moonshot Patent Data Set API allows the public to discover and search USPTO Cancer Moonshot Patent Data.

Tags: api,uspto,cancer,moonshot,patent,application,

Modified: 2024-02-22

Views: 0

Cooperative Patent Classification (CPC) Master Classification File (MCF) for U.S. Patent Applications (2001 - Present)

Data provided by  United States Patent and Trademark Office

Contains Cooperative Patent Classification (CPC) classification information for all Utility patent applications published by the U.S. Patent and Trademark Office (USPTO) from 2001 to present. It is available as XML with schemas or text monthly (usually by the 15th of the month).

Tags: ascii,xml,uspto,patent application,cooperative,class,classification,subclass,subclassification,

Modified: 2024-02-22

Views: 0