NL_Parser_using_Spacy
NLP parser using NER and TDD (by vishwapardeshi)
Multimodal
Listen. Write. Speak. Read. Think. (by kritiksoman)
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NL_Parser_using_Spacy | Multimodal | |
---|---|---|
1 | 1 | |
22 | 8 | |
- | - | |
0.0 | 0.0 | |
over 1 year ago | about 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
- | 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.
NL_Parser_using_Spacy
Posts with mentions or reviews of NL_Parser_using_Spacy.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-01.
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 NL_Parser_using_Spacy and Multimodal you can also consider the following projects:
bert - TensorFlow code and pre-trained models for BERT
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
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.