WhereIsAI
awesome-open-data-centric-ai
| WhereIsAI | awesome-open-data-centric-ai | |
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| 2 | 1 | |
| 19 | 679 | |
| - | - | |
| 4.4 | 5.8 | |
| 3 months ago | 6 months ago | |
| - | Creative Commons Attribution 4.0 |
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WhereIsAI
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Audio Abbreviator and Editor Tool?
Hi, you can visit WhereIsAI to find the right AI product to meet you needs. Hope it help.
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AI company, product, and tool collection.
WhereIsAI gathers AI companies/products/tools from a variety of industries.
awesome-open-data-centric-ai
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[P] We are building a curated list of open source tooling for data-centric AI workflows, looking for contributions.
Here is the link to the Github repo: https://github.com/Renumics/awesome-open-data-centric-ai Do you think there are tools missing? Please let me know or feel free to submit a pull request.
What are some alternatives?
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internet-explorer - Internet Explorer explores the web in a self-supervised manner to progressively find relevant examples that improve performance on a desired target dataset.
courses - This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
spotlight - Interactively explore unstructured datasets from your dataframe.
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code - 500 AI Machine learning Deep learning Computer vision NLP Projects with code
Encord Active - Open source active learning toolkit to find failure modes in your computer vision models, prioritize data to label next, and drive data curation to improve model performance.
Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
awesome-synthetic-data - 📖 A curated list of resources dedicated to synthetic data
wit - WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.
Awesome-Learning-with-Label-Noise - A curated list of resources for Learning with Noisy Labels