awesome-production-machine-learning
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EthicalML
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
I recommend lifting the bar of the tools due to the bloating number of tools (~471) nowadays. We lift the bars and only keep the more impactful tools on our...
Such as [Ivy](https://github.com/unifyai/ivy)  - Ivy unifies the syntax and call signatures of existing frameworks.
Extending https://github.com/EthicalML/awesome-production-machine-learning/pull/348, I propose to add these tools due to their prevalence in today's production-level machine-learning pipeline. For this pr, I would add limited tools (here FIVE only) since the...
Inspired by https://github.com/Renumics/awesome-open-data-centric-ai I am thinking about formalizing our repo information like the below: ``` | Name | Description | Popularity | License | | ---- | ----------- | ----------...
For example, **Industry-strength Finance** such as [Qlib](https://github.com/microsoft/qlib)? **Industry-strength Healthcare** such as [MONAI](https://github.com/Project-MONAI/MONAI), [torchxrayvision](https://github.com/mlmed/torchxrayvision), [hi-ml](https://github.com/microsoft/hi-ml), [InnerEye](https://www.microsoft.com/en-us/research/project/medical-image-analysis)? @axsaucedo
How about creating a new module for tools such as https://github.com/modelscope/agentscope, https://github.com/modelscope/modelscope-agent, https://github.com/agiresearch/OpenAGI, and https://github.com/livekit/agents, and https://github.com/openai/swarm? Check this list: https://github.com/e2b-dev/awesome-ai-sdks In a strict sense, agentic workflow (AI agent) falls...
