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bowang-lab avatar

bowang-lab/scGPT

0
View on GitHub↗
1,585 stars·335 forks·Jupyter Notebook·MIT·8 viewsscgpt.readthedocs.io/en/latest↗

ScGPT

This is the official codebase for scGPT: Towards Building a Foundation Model for Single-Cell Multi-omics Using Generative AI.

Features

  • Foundation Models - Foundation model supporting annotation and batch integration.

Star history

Star history chart for bowang-lab/scgptStar history chart for bowang-lab/scgpt

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with ScGPT

These projects share indexed features with ScGPT. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • abenechehab/adaptsabenechehab avatar

    abenechehab/AdaPTS

    51View on GitHub↗

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

    Jupyter Notebook
    View on GitHub↗51
  • alembics/disco-diffusionalembics avatar

    alembics/disco-diffusion

    7,407View on GitHub↗

    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

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

    baaivision/Emu

    1,775View on GitHub↗

    Emu Series: Generative Multimodal Models from BAAI

    Python
    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

    Jupyter Notebooklarge-language-models
    View on GitHub↗7,822
Compare all 30 related projects→

Frequently asked questions

What does bowang-lab/scgpt do?

This is the official codebase for scGPT: Towards Building a Foundation Model for Single-Cell Multi-omics Using Generative AI.

What are the main features of bowang-lab/scgpt?

The main features of bowang-lab/scgpt are: Foundation Models.

Which projects share features with bowang-lab/scgpt?

Projects with overlapping indexed features 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…