githubharald/CTCDecoder
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
- Stars
- 838
- Forks
- 179
- Open issues
- 0
- Last push
- 8mo ago
About CTCDecoder
CTCDecoder is a free, open-source LLM chat app by githubharald, written mainly in Python. Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python. It has 838 GitHub stars and 179 forks, and was last updated 8mo ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Python
- Stars
- 838
- Last update
- 8mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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CTCDecoder FAQ
Is CTCDecoder free?
Yes. CTCDecoder is open source and free to use. It's released under the MIT license, a standard open-source license.
Does CTCDecoder run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does CTCDecoder need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is CTCDecoder still maintained?
It was last updated 8mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to CTCDecoder?
Similar free, open-source tools include Hands-On-Large-Language-Models, Qwen, langextract, tokenizers.