Extracting library-framework-models-tools-services.md from README.md

jd-13 · Nov 3, 2019 · 3305ebf · 3305ebf
1 parent 4fa9cdc
commit 3305ebf
Show file tree

Hide file tree

Showing 2 changed files with 47 additions and 31 deletions.
diff --git a/natural-language-processing/README.md b/natural-language-processing/README.md
@@ -22,37 +22,7 @@ See [Course, Tutorial, Learning resource](./course-tutorial-learning-resources.m
 
 ## Library, Framework, Models, Tools, Services
 
-- [BloomsburyAI's Open Source NLP tool: Cape Webservices - backend server](https://github.com/bloomsburyai/cape-webservices) | [Rest of BloomsburyAI's Open Source NLP tool - Cape](https://www.github.com/bloomsburyai) [Bought out by FB around March/April 2019]
-- [NLP Java/JVM](../examples/nlp-java-jvm/README.md#nlp-javajvm) - docker container with Java/JVM based NLP libraries/frameworks (inspired by LaMachine, Awesome NLP and others out there)
-- [Better NLP library (experimental)](../examples/better-nlp) | Slides: [1](./better-nlp/presentations/09-Mar-2019/Better-NLP-Presentation-Slides.pdf) [2](./better-nlp/presentations/29-Jun-2019/Better-NLP-2.0-one-library-rules-them-all-Presentation-Slides.pdf)
-- [Facebook's PyText](https://github.com/facebookresearch/PyText)
-- [Facebook's FastText](https://github.com/facebookresearch/FastText) | [homepage | docs](https://fasttext.cc/)
-- [Facebook's Pythia](https://code.fb.com/ai-research/pythia/) | [github](https://github.com/facebookresearch/pythia) | [Medium](https://medium.com/syncedreview/facebook-open-sources-pythia-for-vision-and-language-multimodal-ai-models-be480644b538)
-- [Flair by Zolando Research](https://www.analyticsvidhya.com/blog/2019/02/flair-nlp-library-python/) | [github](https://github.com/zalandoresearch/flair) | [Research paper](https://drive.google.com/file/d/17yVpFA7MmXaQFTe-HDpZuqw9fJlmzg56/view)
-- [Microsoft NLP](https://github.com/microsoft/nlp)
-- [Smile - Statistical Machine Intelligence and Learning Engine](https://haifengl.github.io/smile)
-- [Standford NLP Group](https://nlp.stanford.edu/)
-- [Google’s Bert](https://github.com/google-research/bert) | [TensorFlow code and pre-trained models for BERT](https://github.com/google-research/bert)
-- [H2O Driverless AI](http://docs.h2o.ai/driverless-ai/latest-stable/docs/userguide/nlp.html) 
-   - [Sudalai Rajkumar (SRK), H2O.ai - NLP with H2O Driverless AI - H2O World SF](https://www.youtube.com/watch?v=PJs_2Kyw_RQ&amp;feature=youtu.be)
-   - [Carmelo Iaria, AI Academy - How The AI Academy is accelerating NLP projects with Driverless AI](https://www.youtube.com/watch?v=aXPE6IiKRmI&amp;feature=youtu.be)
-- [The Illustrated Word2vec](https://jalammar.github.io/illustrated-word2vec/)
-- [LDA (topic modelling)](https://github.com/bmabey/pyLDAvis)
-- Flashtext: [github](https://github.com/vi3k6i5/flashtext) | [docs](https://buildmedia.readthedocs.org/media/pdf/flashtext/latest/flashtext.pdf) | blogs: [1](https://www.analyticsvidhya.com/blog/2017/11/flashtext-a-library-faster-than-regular-expressions/) o [2](https://medium.freecodecamp.org/regex-was-taking-5-days-flashtext-does-it-in-15-minutes-55f04411025f) o [3](https://medium.com/@Alibaba_Cloud/why-you-should-use-flashtext-instead-of-regex-for-data-analysis-960a0dc96c6a)
-- Top libraries
-  - [5 Heroic Tools for Natural Language Processing](https://towardsdatascience.com/5-heroic-tools-for-natural-language-processing-7f3c1f8fc9f0) | [Top 5 Python NLP Libraries to Build a Human like Applications](https://www.datasciencelearner.com/top-5-python-nlp-libraries-to-build-a-human-like-application/) | [5 open source tools for taming text](https://opensource.com/business/15/7/five-open-source-nlp-tools) | [Comparing the Functionality of Open Source Natural Language Processing Libraries](https://blog.dominodatalab.com/comparing-the-functionality-of-open-source-natural-language-processing-libraries/)
-  - [Comparison of Top 6 Python NLP Libraries](https://www.kdnuggets.com/2018/07/comparison-top-6-python-nlp-libraries.html)
-  - [Top 10 Python Libraries for Natural Language Processing (2018)](https://kleiber.me/blog/2018/02/25/top-10-python-nlp-libraries-2018/)
-  - Quora: best NLP library question: [1](https://www.quora.com/Which-library-is-best-for-NLP) | [2](https://www.quora.com/What-is-the-best-natural-language-processing-API-library-service-today) | [3](https://www.quora.com/Natural-Language-Processing-What-are-the-best-libraries-for-extracting-data-from-PDF-files)
-  - [Python NLP for Hackers](https://nlpforhackers.io/libraries/)
-  - [NLP vs NLU vs NLG (Know what you are trying to achieve) NLP engine (Part-1)](https://towardsdatascience.com/nlp-vs-nlu-vs-nlg-know-what-you-are-trying-to-achieve-nlp-engine-part-1-1487a2c8b696)
-  - [NLP engine(Part-2) -> Best Text Processing tools or libraries for Natural Language Processing](https://towardsdatascience.com/nlp-engine-part-2-best-text-processing-tools-or-libraries-for-natural-language-processing-c7fd80f456e3)
-  - [Natural Language Extraction - Using spaCy on a set of novels](https://medium.com/@rajat.jain1/natural-language-extraction-using-spacy-on-a-set-of-novels-88b159d68686)
-  - [A short gist for extracting NER + grouping using emma](https://gist.github.com/svenski/a433a823511a0f9a0941deba93fa0d2f)
-  - [Spacy Cheatsheet](https://www.datacamp.com/community/blog/spacy-cheatsheet)
-  - [NeuralCoref 4.0: Coreference Resolution in spaCy with Neural Networks](https://github.com/huggingface/neuralcoref)
-  - [StarSpace: Learning embeddings for classification, retrieval and ranking](https://github.com/facebookresearch/StarSpace)
-  - [Free NLP service - Natural Language for Developers](wit.ai)
+See [Library, Framework, Models, Tools, Services](./library-framework-models-tools-services.md)
 
 ## Metaphor detection
 

diff --git a/natural-language-processing/library-framework-models-tools-services.md b/natural-language-processing/library-framework-models-tools-services.md
@@ -0,0 +1,46 @@
+# Library, Framework, Models, Tools, Services
+
+- [BloomsburyAI's Open Source NLP tool: Cape Webservices - backend server](https://github.com/bloomsburyai/cape-webservices) | [Rest of BloomsburyAI's Open Source NLP tool - Cape](https://www.github.com/bloomsburyai) [Bought out by FB around March/April 2019]
+- [NLP Java/JVM](../examples/nlp-java-jvm/README.md#nlp-javajvm) - docker container with Java/JVM based NLP libraries/frameworks (inspired by LaMachine, Awesome NLP and others out there)
+- [Better NLP library (experimental)](../examples/better-nlp) | Slides: [1](./better-nlp/presentations/09-Mar-2019/Better-NLP-Presentation-Slides.pdf) [2](./better-nlp/presentations/29-Jun-2019/Better-NLP-2.0-one-library-rules-them-all-Presentation-Slides.pdf)
+- [Facebook's PyText](https://github.com/facebookresearch/PyText)
+- [Facebook's FastText](https://github.com/facebookresearch/FastText) | [homepage | docs](https://fasttext.cc/)
+- [Facebook's Pythia](https://code.fb.com/ai-research/pythia/) | [github](https://github.com/facebookresearch/pythia) | [Medium](https://medium.com/syncedreview/facebook-open-sources-pythia-for-vision-and-language-multimodal-ai-models-be480644b538)
+- [Flair by Zolando Research](https://www.analyticsvidhya.com/blog/2019/02/flair-nlp-library-python/) | [github](https://github.com/zalandoresearch/flair) | [Research paper](https://drive.google.com/file/d/17yVpFA7MmXaQFTe-HDpZuqw9fJlmzg56/view)
+- [Microsoft NLP](https://github.com/microsoft/nlp)
+- [Smile - Statistical Machine Intelligence and Learning Engine](https://haifengl.github.io/smile)
+- [Standford NLP Group](https://nlp.stanford.edu/)
+- [Google’s Bert](https://github.com/google-research/bert) | [TensorFlow code and pre-trained models for BERT](https://github.com/google-research/bert)
+- [H2O Driverless AI](http://docs.h2o.ai/driverless-ai/latest-stable/docs/userguide/nlp.html) 
+   - [Sudalai Rajkumar (SRK), H2O.ai - NLP with H2O Driverless AI - H2O World SF](https://www.youtube.com/watch?v=PJs_2Kyw_RQ&amp;feature=youtu.be)
+   - [Carmelo Iaria, AI Academy - How The AI Academy is accelerating NLP projects with Driverless AI](https://www.youtube.com/watch?v=aXPE6IiKRmI&amp;feature=youtu.be)
+- [The Illustrated Word2vec](https://jalammar.github.io/illustrated-word2vec/)
+- [LDA (topic modelling)](https://github.com/bmabey/pyLDAvis)
+- Flashtext: [github](https://github.com/vi3k6i5/flashtext) | [docs](https://buildmedia.readthedocs.org/media/pdf/flashtext/latest/flashtext.pdf) | blogs: [1](https://www.analyticsvidhya.com/blog/2017/11/flashtext-a-library-faster-than-regular-expressions/) o [2](https://medium.freecodecamp.org/regex-was-taking-5-days-flashtext-does-it-in-15-minutes-55f04411025f) o [3](https://medium.com/@Alibaba_Cloud/why-you-should-use-flashtext-instead-of-regex-for-data-analysis-960a0dc96c6a)
+- Top libraries
+  - [5 Heroic Tools for Natural Language Processing](https://towardsdatascience.com/5-heroic-tools-for-natural-language-processing-7f3c1f8fc9f0) | [Top 5 Python NLP Libraries to Build a Human like Applications](https://www.datasciencelearner.com/top-5-python-nlp-libraries-to-build-a-human-like-application/) | [5 open source tools for taming text](https://opensource.com/business/15/7/five-open-source-nlp-tools) | [Comparing the Functionality of Open Source Natural Language Processing Libraries](https://blog.dominodatalab.com/comparing-the-functionality-of-open-source-natural-language-processing-libraries/)
+  - [Comparison of Top 6 Python NLP Libraries](https://www.kdnuggets.com/2018/07/comparison-top-6-python-nlp-libraries.html)
+  - [Top 10 Python Libraries for Natural Language Processing (2018)](https://kleiber.me/blog/2018/02/25/top-10-python-nlp-libraries-2018/)
+  - Quora: best NLP library question: [1](https://www.quora.com/Which-library-is-best-for-NLP) | [2](https://www.quora.com/What-is-the-best-natural-language-processing-API-library-service-today) | [3](https://www.quora.com/Natural-Language-Processing-What-are-the-best-libraries-for-extracting-data-from-PDF-files)
+  - [Python NLP for Hackers](https://nlpforhackers.io/libraries/)
+  - [NLP vs NLU vs NLG (Know what you are trying to achieve) NLP engine (Part-1)](https://towardsdatascience.com/nlp-vs-nlu-vs-nlg-know-what-you-are-trying-to-achieve-nlp-engine-part-1-1487a2c8b696)
+  - [NLP engine(Part-2) -> Best Text Processing tools or libraries for Natural Language Processing](https://towardsdatascience.com/nlp-engine-part-2-best-text-processing-tools-or-libraries-for-natural-language-processing-c7fd80f456e3)
+  - [Natural Language Extraction - Using spaCy on a set of novels](https://medium.com/@rajat.jain1/natural-language-extraction-using-spacy-on-a-set-of-novels-88b159d68686)
+  - [A short gist for extracting NER + grouping using emma](https://gist.github.com/svenski/a433a823511a0f9a0941deba93fa0d2f)
+  - [Spacy Cheatsheet](https://www.datacamp.com/community/blog/spacy-cheatsheet)
+  - [NeuralCoref 4.0: Coreference Resolution in spaCy with Neural Networks](https://github.com/huggingface/neuralcoref)
+  - [StarSpace: Learning embeddings for classification, retrieval and ranking](https://github.com/facebookresearch/StarSpace)
+  - [Free NLP service - Natural Language for Developers](wit.ai)
+
+
+
+# Contributing
+
+Contributions are very welcome, please share back with the wider community (and get credited for it)!
+
+Please have a look at the [CONTRIBUTING](../CONTRIBUTING.md) guidelines, also have a read about our [licensing](../LICENSE.md) policy.
+
+---
+
+Back to [NLP page (table of contents)](README.md)</br>
+Back to [main page (table of contents)](../README.md)