free-music-demixer
colima
free-music-demixer | colima | |
---|---|---|
7 | 111 | |
323 | 16,977 | |
- | - | |
8.0 | 8.2 | |
about 1 month ago | 2 days ago | |
Python | Go | |
MIT License | MIT License |
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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.
free-music-demixer
- Ask HN: What are some of the best user experiences with AI?
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Free-music-demixer adds multi-threading to run Demucs faster in the browser
Hi HN,
Over the Christmas break I added multi-threading to the WASM Demucs module in freemusicdemixer
Demucs (v4 hybrid transformer) is a much higher quality model than the previous default, but it ran very slowly when limited to one worker: ~17 minutes for an average 4-minute song
I have since implemented multi-threading with WebWorkers.
If you raise the "MAX MEMORY" setting to 16 GB or 32 GB, your track will demix within 7-5 minutes, producing state-of-the-art results.
There is also support for the Demucs 6-source model which adds piano and guitar stems.
Please reach out and be loud about any bugs or UX issues you encounter!: https://github.com/sevagh/free-music-demixer/issues
- Show HN: Improved freemusicdemixer – AI music demixing in the browser
- Show HN: Improved freemusicdemixer (AI music demixing in the browser)
- FLaNK Stack Weekly for 17 July 2023
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Show HN: Free AI-based music demixing in the browser
* Post-processing step (bigger impact)
I tried to tackle the post-processing step in my C++ code (which would win ~1 dB in quality across all targets) but it's too tricky for now [2]. Maybe some other day.
1: https://github.com/sevagh/free-music-demixer/blob/main/examp...
2: https://github.com/sigsep/open-unmix-pytorch/blob/master/ope...
colima
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How I ended up using Colima for Docker on Apple Silicon
While looking into the issue with Podman, I came across colima. Apart from being able to run AMD64 images out of the box, there were additional benefits to it, one of which was, unlike podman, colima could use Rosetta 2 for x64 emulation (which is significantly more performant).
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Lcl.host: fast, easy HTTPS in your local dev environment
If you don't need a GUI, the following combo works pretty well:
- https://github.com/abiosoft/colima
- https://github.com/peterldowns/localias
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Damn Small Linux 2024
You might look into CoLima as a way to get started.
https://github.com/abiosoft/colima?tab=readme-ov-file
Its user interface is Docker-like, using containers.
For full desktop, I've only used the commercial app "Parallels", which can set up an Ubuntu desktop for you. Also Fedora and Alpine and Debian I believe.
But
> I don't really have any resources to share. I just know how to boot a vmlinuz with an initramfs using QEMU, and decided to download the Linux kernel source code and try compiling it.
I highly recommend working through Linux from Scratch and possibly the Gentoo Handbook. It's a journey.
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Howto: WASM runtimes in Docker / Colima
I could not find any guide how to add WASM container capability to Docker running on Colima. This guide provides a few Colima templates for exactly this, which adds WasmEdge, Wasmtime and Wasmer runtime types.
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RamRamRamEveryoneSleepingOnDocker
Colima runs much faster on Macos: https://github.com/abiosoft/colima
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Podman Desktop v1.5 with Compose onboarding and enhanced Kubernetes pod data
After docker desktop became unusable, I jumped to colima and never looked back. I still use the docker runtime in it (the non-proprietary part) but it also supports containerd. On Mac it's just a "brew install colima" and then "colima start"
I also install the compose and ecr credentials plug-ins (since I use ecr for my container registry.) It has the full functionality of docker desktop minus the UI, which I never used anyways.
https://github.com/abiosoft/colima
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K3s – Lightweight Kubernetes
On my M1 Pro system, I have nothing but positive things to say about the experience of using Colima (https://github.com/abiosoft/colima). Quick to set up and fast to use.
- abiosoft/colima
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UTM – Virtual Machines for iOS and macOS
I'd say Lima and Colima should be enough for most use cases:
https://lima-vm.io/
https://github.com/abiosoft/colima
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Lazydocker
The bash/zsh equivalent wouldn't be too hard, but I use fish.
[0] https://github.com/abiosoft/colima, https://hn.algolia.com/?q=https%3A%2F%2Fgithub.com%2Fabiosof...
[1] https://orbstack.dev [3], https://hn.algolia.com/?q=https%3A%2F%2Forbstack.dev
[2] https://github.com/abiosoft/colima#customizing-the-vm and https://github.com/abiosoft/colima/blob/main/docs/FAQ.md#edi...
[3] I’m on OrbStack now, but it isn’t so much better at how I use Docker than Colima is that I think that it’s an instant buy, especially with the planned subscription model. If I used anything other than the Docker integration, I might think it's better, but as of right now, no.
I also have some issues with its insistence on asking for elevated permissions. I will never grant permission[4] to make a symlink to the "standard" Docker socket; context and `$DOCKER_HOST` work well enough. It should not ask if the permission hasn't been given once. I also worry about other "advanced" features that may need an elevated permissions helper[5].
[4] https://github.com/orbstack/orbstack/issues/281#issuecomment...
[5] https://github.com/orbstack/orbstack/issues/281#issuecomment... and following
What are some alternatives?
danswer - Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.
lima - Linux virtual machines, with a focus on running containers
open-unmix-pytorch - Open-Unmix - Music Source Separation for PyTorch
Podman Desktop - Podman Desktop - A graphical tool for developing on containers and Kubernetes
heimdall - Dashboard for operating Flink jobs and deployments.
minikube - Run Kubernetes locally
dt - dt - duct tape for your unix pipes
rd - Container Management and Kubernetes on the Desktop
video2dataset - Easily create large video dataset from video urls
podman - Podman: A tool for managing OCI containers and pods.
khoj - Your AI second brain. A copilot to get answers to your questions, whether they be from your own notes or from the internet. Use powerful, online (e.g gpt4) or private, local (e.g mistral) LLMs. Self-host locally or use our web app. Access from Obsidian, Emacs, Desktop app, Web or Whatsapp.
multipass - Multipass orchestrates virtual Ubuntu instances