DiffAPF/torchlpc
Fast and differentiable time domain all-pole filter in PyTorch.
- Stars
- 73
- Forks
- 6
- Open issues
- 5
- Last push
- 8mo ago
torchlpc star history
+0 this week
About torchlpc
torchlpc is a free, open-source AI coding tool by DiffAPF, written mainly in Python. Fast and differentiable time domain all-pole filter in PyTorch. It has 73 GitHub stars and 6 forks, and was last updated 8mo ago. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 73
- Last update
- 8mo ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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torchlpc FAQ
Can I use torchlpc commercially?
Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is torchlpc free?
Yes. torchlpc is open source and free to use. It's released under the MIT license, a standard open-source license.
Does torchlpc run on a Mac?
Yes. According to the project, torchlpc works on macOS.
Does torchlpc need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is torchlpc still maintained?
It was last updated 8mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to torchlpc?
Similar free, open-source tools include claude-code, claude-skills, graphify, qwen-code.
Maintain torchlpc?
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