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DataDog/toto

0
View on GitHub↗
482 stars·70 forks·Jupyter Notebook·Apache-2.0·6 views

Toto

Toto 2.0: Model Weights | Blog Toto 1.0: Paper | Blog | Model Card

Features

  • Foundation Models - Offers an observability perspective on foundation model performance.

Star history

Star history chart for datadog/totoStar history chart for datadog/toto

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Open-source alternatives to Toto

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  • abenechehab/adaptsabenechehab avatar

    abenechehab/AdaPTS

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    Our paper has been accepted at ICML 2025! 🎉📄🎓 👉 AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting

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    View on GitHub↗51
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    This project is a diffusion-based AI art generator and animation framework used to create digital images and motion graphics from text prompts. It functions as a system for producing stylized videos and AI art through iterative diffusion sampling and neural network models. The framework distinguishes itself through specialized tools for 3D depth animation, using depth-map transformations to create spatial movement. It also includes neural style transfer capabilities to apply specific artistic looks, such as watercolor or pixel art, and utilizes optical flow frame blending to reduce flickering

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    View on GitHub↗7,407
  • baaivision/emubaaivision avatar

    baaivision/Emu

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    View on GitHub↗1,775
  • 01-ai/yi01-ai avatar

    01-ai/Yi

    7,822View on GitHub↗

    Yi is a bilingual language model and foundation model designed for natural language processing, reasoning, and reading comprehension in both English and Chinese. It is built as a transformer-based architecture capable of general purpose text generation and conversational tasks. The model is distinguished by its ability to function as a long context system, processing and analyzing extended input sequences up to 200k tokens. It also supports quantized versions that use low-bit precision to reduce memory footprints, enabling execution on consumer-grade hardware. The project covers a broad rang

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Frequently asked questions

What does datadog/toto do?

Toto 2.0: Model Weights | Blog Toto 1.0: Paper | Blog | Model Card

What are the main features of datadog/toto?

The main features of datadog/toto are: Foundation Models.

What are some open-source alternatives to datadog/toto?

Open-source alternatives to datadog/toto include: abenechehab/adapts — Our paper has been accepted at ICML 2025! 🎉📄🎓 👉 AdaPTS: Adapting Univariate Foundation Models to Probabilistic… alembics/disco-diffusion — This project is a diffusion-based AI art generator and animation framework used to create digital images and motion… baaivision/emu — Emu Series: Generative Multimodal Models from BAAI. baaivision/emu3 — Next-Token Prediction is All You Need. baichuan-inc/baichuan-13b — A 13B large language model developed by Baichuan Intelligent Technology. 01-ai/yi — Yi is a bilingual language model and foundation model designed for natural language processing, reasoning, and reading…