For GenAI-based in-silico drug discovery to achieve widespread adoption, the technology must adhere to several shortcomings. First, in-silico drug discovery requires extensive and updated bioinformatics and cheminformatics datasets. Large datasets are essential to the models’ contextual understanding and a...
Google Dataset Search(Link opens in a new window): "A search engine to unite the fragmented world of online datasets." Data is Plural(Link opens in a new window): Subscribe for a weekly newsletter with data sets, or browse the archive(Link opens in a new window). Makeover Monday(Link...
Learn about open datasets from Ookla® and how we partner with governments and humanitarian organizations to help make the internet better, faster, and more accessible.
Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments Anthony Cintron Roman, Jennifer Wortman Vaughan, Valerie See, Steph Ballard, Nicolas Schifano, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres December 2023 Preprint Github 项目 Parameter-Efficient...
For the second part of data analysis, we also ex- plore relevant tasks and datasets. Automatic chart summarization (, ; , ) is a task that aimed to explain a chart and summarize the key takeaways in the form of natu- ral language. Indeed, generating natural language summaries from charts...
Flow is built on top of Nextflow and offers a suite of open source, verified, chainable Nextflow pipelines for data analysis. You can analyse your own data, or process it in the context of other datasets and genomes. Explore data interactively ...
Comparing different clustering algorithms on toy datasets Demo of DBSCAN clustering algorithm L1 Penalty and Sparsity in Logistic Regression MNIST classfification using multinomial logistic + L1 Varying regularization in Multi-layer Perceptron Compare the effect of different scalers on data with outliers ...
This paper reports our experience of analysing what may well be one of the largest datasets gathered on nursing practice in the United Kingdom The study produced both quantitative and qualitative data and a method had to be devised both for analysing each form of data and for relating the two...
For details, please see the webpage: https://sites.google.com/servicenow.com/good-data-2025/ Foundation models highly depend on the data they are trained on. Although self-supervised learning is one of their promises, it is clear that the carefully processed datasets lead to better models. ...
This framework aims to assist in the documentation of datasets to promote transparency and help dataset creators and consumers make informed decisions. You can read more about it in our paper: Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI… ...