latex2speech
Convert Latex to speech (by marcosfelt)
Multimodal
Listen. Write. Speak. Read. Think. (by kritiksoman)
latex2speech | Multimodal | |
---|---|---|
1 | 1 | |
2 | 8 | |
- | - | |
2.9 | 0.0 | |
11 months ago | about 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
latex2speech
Posts with mentions or reviews of latex2speech.
We have used some of these posts to build our list of alternatives
and similar projects.
Multimodal
Posts with mentions or reviews of Multimodal.
We have used some of these posts to build our list of alternatives
and similar projects.
-
I created a DIY python package to ensemble multimodal models
Code: kritiksoman/Multimodal: Listen. Write. Speak. Read. Think. (github.com)
What are some alternatives?
When comparing latex2speech and Multimodal you can also consider the following projects:
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
NLU-engine-prototype-benchmarks - Demo and benchmarks for building an NLU engine similar to those in voice assistants. Several intent classifiers are implemented and benchmarked. Conditional Random Fields (CRFs) are used for entity extraction.