Hysen Labs
Open-source project
graykode/nlp-roadmap avatar
graykode

nlp-roadmap

GitHub describes it as ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP. The metadata lists the MIT license. This article stays within the project description and details documented in the GitHub repository README.

3,267 stars514 forksUnknownMIT
01
DEEP OPEN-SOURCE ANALYSIS

graykode/nlp-roadmap: nlp-roadmap

GitHub describes it as ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP. The metadata lists the MIT license. This article stays within the project description and details documented in the GitHub repository README.

02
DEEP OPEN-SOURCE ANALYSIS

Repository scope

GitHub describes it as ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP. The metadata lists the MIT license. The README describes the project this way: nlp-roadmap is Natural Language Processing ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning Natural Language Processing. The roadmap covers the materials from basic probability/statistics to SOTA NLP models.

03
DEEP OPEN-SOURCE ANALYSIS

nlp-roadmap

The README section "nlp-roadmap" states: - The relationship among keywords could be interpreted in ambiguous ways since they are represented in the format of a semantic mind-map. Please just focus on KEYWORD in square box , and deem them as the essential parts to learn. - The work of containing a plethora of keywords and knowledge within just an image has been challenging. Thus, please note that this roadmap is one of the suggestions or ideas. - You are eligible for using the material of your own free will including commercial purpose but highly expected to leave a reference.

04
DEEP OPEN-SOURCE ANALYSIS

Contribution

The README section "Contribution" states: Everyone can contribute to the repository. Contributions can range fixing typos to giving different perspectives on the materials. I welcome your contribution under the identical contribution guide of kamranahmedse/developer-roadmap.

05
DEEP OPEN-SOURCE ANALYSIS

Reference

The README section "Reference" states: [4] Young, T., Hazarika, D., Poria, S., & Cambria, E. (2017). Recent Trends in Deep Learning Based Natural Language Processing. arXiv preprint arXiv:1708.02709.

06
DEEP OPEN-SOURCE ANALYSIS

Editorial conclusion

The repository README is the source for this review. It does not replace a local installation or an independent test.

07
DEEP OPEN-SOURCE ANALYSIS

Official sources

08
Community notes

Community notes