imgbeddings
flatpak
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| imgbeddings | flatpak | |
|---|---|---|
| 8 | 431 | |
| 122 | 4,055 | |
| - | 1.6% | |
| 0.0 | 9.2 | |
| about 2 years ago | about 7 hours ago | |
| Python | C | |
| MIT License | GNU Lesser General Public License v3.0 only |
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.
imgbeddings
- FLaNK Stack Weekly for 20 Nov 2023
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Content-Based Image Retrieval
Seconding the recommendation of CLIP embeddings, especially compared to image histograms + requiring OpenCV.
I wrote a naive, minimal dependency Python package to calculate image embeddings (https://github.com/minimaxir/imgbeddings) with some lookup demo notebooks and it works well in a pinch, although it's due for an upgrade.
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How to build a working AI only using synthetic data in just 5 minutes
Normally, this is Hacker News reductiveness, but yes, image classification via CLIP is that easy, especially with Hugging Face's API for it: https://huggingface.co/docs/transformers/model_doc/clip
I created a Python package to generate image embeddings from CLIP's vision model (without requiring a ML framework), and a simple linear classifier on those embeddings does the trick: https://github.com/minimaxir/imgbeddings
- GitHub - minimaxir/imgbeddings: Python package to generate image embeddings with CLIP without PyTorch/TensorFlow
- Show HN: Python package to create image embeddings without PyTorch/TensorFlow
- I've released a Python package which lets you generate vector representations of images clustering/similarity search/classifier building with a twist: neither PyTorch nor TensorFlow is used!
- [P] I've released a Python package which lets you generate vector representations of images with a twist: neither PyTorch nor TensorFlow is used!
- Show HN: Python package to create image embeddings with o PyTorch/TensorFlow
flatpak
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Tools for Linux Distro Hoppers
Hopping from one distro to another with a different package manager might require some time to adapt. Using a package manager that can be installed on most distro is one way to help you get to work faster. Flatpak is one of them; other alternative are Snap, Nix or Homebrew. Flatpak is a good starter, and if you have a bunch of free time, I suggest trying Nix.
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Podman Desktop 1.6 released: Even more Kubernetes and Containers features
No, it looks like you have to do it on an application basis.
https://github.com/flatpak/flatpak/issues/2913
- how strong is the steam (runtime) sandbox for games?
- Flatpak 1.14.5 Released
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Been thinking of switching to linux but I am a noob
Flatpak
- FLaNK Stack Weekly for 20 Nov 2023
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Flathub – The Linux App Store
> CLI tools do not implement auto-complete themselves. What you are seeing are auto-complete scripts for your shell that make network connections.
nit: This is incorrect. Robust auto-complete scripts call the actual program to provide completions.
That is what Flatpak does. It is Flatpak itself that makes the network connections.
https://github.com/flatpak/flatpak/blob/main/completion/flat...
Not that it would make any differencen if it was implemented in Bash seeing as the Bash script is also provided by Flatpak.
- How to prevent/allow chrome from accessing network devices?
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Linux Phones (2022)
The only performance impact I know of is with the seccomp filter in CPU-bound tasks: https://github.com/flatpak/flatpak/issues/4187
Skimming through the recent comments, there might be a way to optimize some of it.
What are some alternatives?
ai-music - A vanilla Trasformer Decoder music generation model trained on Final Fantasy OST MIDI songs
steam-runtime - A runtime environment for Steam applications
TwoPhotosOnA6x4 - Stitches 2 photos for printing on a 6"x4" photo.
firejail - Linux namespaces and seccomp-bpf sandbox
FLaNK-EveryTransitSystem - Every transit system
Autodesk-Fusion-360-for-Linux - This is a project, where I give you a way to use Autodesk Fusion 360 on Linux!
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
distrobox - Use any linux distribution inside your terminal. Enable both backward and forward compatibility with software and freedom to use whatever distribution you’re more comfortable with. Mirror available at: https://gitlab.com/89luca89/distrobox
screenshot-to-code - Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
nix-gui - Use NixOS Without Coding
dalle2-in-python - Use DALL·E 2 in Python
com.valvesoftware.Steam