[D] AMA: The Stability AI Team

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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  • open_clip

    An open source implementation of CLIP.

  • Emad: The OpenCLIP ViT-H/14 model we supported the release of will help with causal language interpretation: https://github.com/mlfoundations/open_clip in future stable diffusion models, but there are several other advances such as those shown in ediffi by NVIDIA (https://arxiv.org/abs/2211.01324v1) that we have been working on similar things to.

  • polyglot

    Polyglot: Large Language Models of Well-balanced Competence in Multi-languages (by EleutherAI)

  • Emad: You can see the work being led by Kevin Ko at Eleuther AI on polyglot which may be of interest: https://github.com/EleutherAI/polyglot

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • stable-diffusion

    A latent text-to-image diffusion model

  • Emad: Stable diffusion is the latest model of CompVis building on their work on latent diffusion, incorporating Katherine Crowson's work on conditioned models and many others: https://github.com/CompVis/stable-diffusion

  • bitsandbytes

    Accessible large language models via k-bit quantization for PyTorch.

  • stable-diffusion-webui

    Stable Diffusion web UI

  • I started working on a way to do this with the common webuis: https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/2764

  • torcheval

    A library that contains a rich collection of performant PyTorch model metrics, a simple interface to create new metrics, a toolkit to facilitate metric computation in distributed training and tools for PyTorch model evaluations.

  • Hey I work on TorchEval let us know if we can be of any help here :)

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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