draviz VS mlconjug3

Compare draviz vs mlconjug3 and see what are their differences.

draviz

A method for assessing the data readiness of NLP projects, as well as the code necessary for visualizing the outcome of the method. (by fredriko)

mlconjug3

A Python library to conjugate verbs in French, English, Spanish, Italian, Portuguese and Romanian (more soon) using Machine Learning techniques. (by SekouDiaoNlp)
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draviz mlconjug3
2 1
2 2
- -
0.0 7.7
about 2 years ago 8 months ago
Python Python
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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draviz

Posts with mentions or reviews of draviz. We have used some of these posts to build our list of alternatives and similar projects.

mlconjug3

Posts with mentions or reviews of mlconjug3. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-23.

What are some alternatives?

When comparing draviz and mlconjug3 you can also consider the following projects:

NLP-quote-maker - A NLP driven script which will give you a quote according to the sentence you feed it. 💬 It pulls data from several API's and makes up a relation by f.e. sentiment of the sentence💫

wikipron - Massively multilingual pronunciation mining

searchGPT - Grounded search engine (i.e. with source reference) based on LLM / ChatGPT / OpenAI API. It supports web search, file content search etc.

MetalTranslate - Customizable machine translation in C++

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

contextualized-topic-models - A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.

thousand-language-morphology - Tools for building very wide (but shallow) language models. This scrapes bible.com for all languages and matches up verses with those from a parsed Greek New Testament -- to produce vocabulary and grammar forms for a large number of languages.