datasaurus VS ai-health-assistant

Compare datasaurus vs ai-health-assistant and see what are their differences.

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datasaurus ai-health-assistant
1 3
11 20
- -
7.2 9.6
7 months ago about 2 months ago
TypeScript TypeScript
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

datasaurus

Posts with mentions or reviews of datasaurus. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-28.
  • Is supervised learning dead for computer vision?
    9 projects | news.ycombinator.com | 28 Oct 2023
    And let’s talk about development speed. By using text prompts to interact with your images, you can whip up a computer vision prototype in seconds. It’s fast, it’s efficient, and it’s changing the game.

    So, what do you all think? Are we moving towards a future where foundational models take the lead in computer vision, or is there still a place for training models from scratch?

    P.S. Shameless plug: I’ve been working on this open-source platform called Datasaurus https://github.com/datasaurus-ai/datasaurus) that taps into the power of vision-language models. It’s all about helping engineers get the insights they need from images, fast. Just wanted to share some thoughts and start a conversation. Let’s talk about the future of computer vision!

ai-health-assistant

Posts with mentions or reviews of ai-health-assistant. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing datasaurus and ai-health-assistant you can also consider the following projects:

LLaVA - [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

squirrel-datasets-core - Squirrel dataset hub

chat-analytics - Generate interactive, beautiful and insightful chat analysis reports

superflows - Open-source toolkit to build an AI copilot for SaaS products

Segment-Everything-Everywhere-

duet-gpt - A conversational semi-autonomous developer assistant. AI pair programming without the copypasta.

squirrel-core - A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:

watgbridge - A forwarder from WhatsApp to Telegram written in GoLang

obsidian-ava - Quickly format your notes with ChatGPT in Obsidian

Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]