ai-health-assistant vs datasaurus

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ai-health-assistant		datasaurus
	Project
3	Mentions	1
20	Stars	11
-	Growth	-
9.6	Activity	7.2
about 2 months ago	Latest Commit	7 months ago
TypeScript	Language	TypeScript
MIT License	License	Apache License 2.0

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.

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.

GitHub - louis030195/mediar: An open source AI health assistant
1 project | /r/programming | 18 Sep 2023
Show HN: An Open Source AI Health Assistant
1 project | news.ycombinator.com | 13 Sep 2023
Show HN: An open source AI health assistant
1 project | news.ycombinator.com | 13 Sep 2023

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!

What are some alternatives?

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

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

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

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

squirrel-datasets-core - Squirrel dataset hub

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

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

Segment-Everything-Everywhere-

watgbridge - A forwarder from WhatsApp to Telegram written in GoLang

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

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]