Bridge-ds – Dataset handling for any modality a la Pandas
Hi everyone, I'd like to share my project, bridge-ds - a lightweight Python framework that simplifies how ML practitioners manage and interact with datasets. Why bridge-ds? It abstracts the repetitive parts of dataset handling in real-world ML workflows, but remains lean enough as to not force opinionated workflow or unnecessary dependencies. bridge-ds uses two complementary approaches: - Macro-level: Treat your entire dataset like a DataFrame—filter, sort, and modify with familiar, intuitive operations. - Micro-level: Efficiently handle individual samples with lazy loading, caching, remote…
Bridge-ds – Dataset handling for any modality a la Pandas launched on September 3, 2024 with 7 votes, #1,891 of 5,281 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 2 years on.
What it does
Contribute to guybuk/bridge-ds development by creating an account on GitHub.
In the maker’s words, at launch
Hi everyone, I'd like to share my project, bridge-ds - a lightweight Python framework that simplifies how ML practitioners manage and interact with datasets. Why bridge-ds? It abstracts the repetitive parts of dataset handling in real-world ML workflows, but remains lean enough as to not force opinionated workflow or…
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