prometheus-spec
data-centric-ai
| prometheus-spec | data-centric-ai | |
|---|---|---|
| 1 | 1 | |
| 28 | 1,070 | |
| - | 1.4% | |
| 0.0 | 0.0 | |
| over 2 years ago | 5 months ago | |
| TeX | TeX | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
prometheus-spec
-
My explanation of the core idea of RGB
Digital Identities, Licensing, right management and accounting tracking (supply chains, medicine), key management, decentralized and censorship-resistant computations (including high-load ones for AI in the future like https://github.com/prometheus-org/prometheus-spec) etc.
data-centric-ai
-
[P] Rubrix: Open-source Python framework for NLP data annotation, exploration, and monitoring
In line with initiatives like Data-centric AI (https://https-deeplearning-ai.github.io/data-centric-comp/, https://github.com/HazyResearch/data-centric-ai), we firmly believe that iterating on datasets (finding label errors, dataset slicing, QA, etc.) will become more and more important, and tools for making this easier and involving different roles are needed.
What are some alternatives?
gut-ai - Documentation, content and meta files about GUT-AI.
argilla - Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.
xmr-btc-atomic-swap - Cross-chain atomic swap protocol between Monero and Bitcoin
pytorch-lightning - The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate. [Moved to: https://github.com/PyTorchLightning/pytorch-lightning]
data-centric-AI - A curated, but incomplete, list of data-centric AI resources.
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
DikeDataset - Dataset with labeled benign and malicious files 🗃️
autoscraper - A Smart, Automatic, Fast and Lightweight Web Scraper for Python