awesome-nlp and NLP-Natural-Language-Processing

These are competitors—both are curated reading lists and resource collections for NLP learning, serving the same purpose of aggregating links and references rather than providing complementary functionality.

awesome-nlp
59
Established
NLP-Natural-Language-Processing
48
Emerging
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 23/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 22/25
Stars: 18,241
Forks: 2,737
Downloads: —
Commits (30d): 0
Language: —
License: CC0-1.0
Stars: 430
Forks: 76
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About awesome-nlp

keon/awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

This is a curated collection of resources for anyone working with Natural Language Processing (NLP). It provides a central place to find research summaries, prominent labs, tutorials, software libraries across many programming languages, data annotation tools, and datasets. Researchers, data scientists, and developers can use this to quickly find information and tools for their NLP projects, from understanding the latest trends to implementing solutions.

text-analytics computational-linguistics machine-translation information-extraction speech-technology

About NLP-Natural-Language-Processing

ElizaLo/NLP-Natural-Language-Processing

Projects and useful articles / links

This is a curated collection of learning resources and practical project examples for Natural Language Processing (NLP). It provides guidance for understanding text data, building systems that can answer questions, classify documents, or analyze sentiment. Anyone looking to deepen their knowledge or apply NLP techniques in their work, such as data scientists, researchers, or analysts, will find this useful.

text-analytics information-extraction sentiment-analysis knowledge-management data-science-education

Related comparisons

awesome-nlp and awesome-nlprojects awesome-nlp and text_mining_resources awesome-nlp and nlp-with-ruby awesome-nlp and awesome-nlprojects

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