domino-research
huggingface_hub
domino-research | huggingface_hub | |
---|---|---|
3 | 104 | |
76 | 1,688 | |
- | 4.2% | |
0.0 | 9.6 | |
about 2 years ago | 3 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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.
domino-research
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[N] Open Sourcing Checkpoint 🛂
Here is a direct URL: https://github.com/dominodatalab/domino-research/tree/main/checkpoint
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Open-sourcing Bridge 🎉
The Domino R&D team is open-sourcing Bridge, a tool that turns your model registry into the declarative source-of-truth for model deployment and hosting.
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[Discussion] Look for service to upload a model and receive a REST API endpoint, for serving predictions
(Disclosure, I am a maintainer on this project) You should checkout Bridge - it deploys models directly from an MLflow registry to SageMaker inference endpoints (hosted APIs). It basically turns your registry into a declarative source of truth for your hosting. The advantage of this approach is that it provides a clean way to update/upgrade your APIs from the same place you're tracking your new versions, experiments etc. One source of truth. You can get an MLflow registry up in a couple minutes if you don't have one.
huggingface_hub
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OpenAI's employees were given two explanations for why Sam Altman was fired
Something to think about:
https://github.com/huggingface/huggingface_hub
- Thoughts on a "Text Generation CivitAI"
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Civitai alternatives.
Yes! We have a well documented Python library (https://github.com/huggingface/huggingface_hub) and public endpoints (https://huggingface.co/docs/hub/api#endpoints-table) you can use to retrieve information about the models and potentially build UIs with specific use cases in mind
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Fox Fairy @ Diffusion Forest: Unreal Engine + Stable Diffusion
i think if you search for pixel art here there are some models worth checking out: https://huggingface.co/
- ASK HN: AI is really exciting but where do I start?
- j'ai entraîné une IA à générer Éric Duhaime en clown !
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[Guide] DreamBooth Training with ShivamShrirao's Repo on Windows Locally
I received another error saying OSError: We couldn't connect to 'https://huggingface.co' to load this model, couldn't find it in the cached files and it looks like ./vae is not the path to a directory containing a file named diffusion_pytorch_model.bin
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Training a Deep Learning Language Model for Latin text Generation
I plan to release it on https://huggingface.co/, where all this cool AI stuff is available for free for everyone that wishes to try it.
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Image Upscaling Models Compared (General, Photo and Faces)
For this I used mainly the chainner application with models from here but I also used the google colab automatic1111 stable diffusion webui (for example for Lanczos) and also spaces fromhuggingface like this one or then from the replicate.com website super resolution collection.
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2D Illustration Styles are scarce on Stable Diffusion so i created a dreambooth model inspired by Hollie Mengert's work
you will now need to create a huggingface account ( https://huggingface.co/) if you haven't already. When you have, go here and accept the terms, https://huggingface.co/runwayml/stable-diffusion-v1-5. When you have done both, click on your profile icon and go to settings. Click access tokens and then create token, name it whatever you want, select "write". When you are finished with all this, then you can run the next cell which is the hugging face cell. It will ask for a token, you copy and paste what you just created.
What are some alternatives?
seldon-core - An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
civitai - A repository of models, textual inversions, and more
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
mammography_metarepository - Meta-repository of screening mammography classifiers
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]
KoboldAI-Client
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration