Tutorial
Notebooks and overall materials of the HybridNLP 2018@ISWC2018 tutorial (http://expertsystemlab.com/hybridNLP18/)
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Awesome Chatbot | 1,977 | 4 months ago | 2 | apache-2.0 | Python | |||||
| Awesome Chatbot Projects,Corpus,Papers,Tutorials.Chinese Chatbot =>: | ||||||||||
| Pytorch Chatbot | 300 | 4 years ago | 3 | Python | ||||||
| Pytorch seq2seq chatbot | ||||||||||
| Rel | 279 | 6 months ago | 1 | December 12, 2022 | 12 | mit | Python | |||
| REL: Radboud Entity Linker | ||||||||||
| Fasttextjapanesetutorial | 174 | 8 years ago | mit | Python | ||||||
| Tutorial to train fastText with Japanese corpus | ||||||||||
| Topic_modeling_tutorial | 102 | 10 years ago | 2 | Python | ||||||
| Instructions & code for the EuroPython 2014 training session "Topic Modeling for Fun and Profit" | ||||||||||
| Word2vec Chinese | 34 | 4 years ago | 1 | Python | ||||||
| a tutorial for training Chinese-word2vec using Wiki corpus | ||||||||||
| Align Linguistic Alignment | 33 | 2 | a year ago | 11 | August 29, 2022 | 14 | mit | Python | ||
| Python library for extracting quantitative, reproducible metrics of multi-level alignment between two speakers in naturalistic language corpora. | ||||||||||
| Corpus Driven Narrative Generation | 15 | 4 years ago | 1 | Jupyter Notebook | ||||||
| Thoughts toward and tutorial on corpus-driven narrative generation | ||||||||||
| Humanitiestutorial | 14 | 6 years ago | apache-2.0 | Python | ||||||
| This is code that we will cover in my Hacking the Humanities class at Leiden University. Video tutorials will be uploaded to my YouTube channel at https://www.youtube.com/channel/UCSarHXwz_HKtiZ3vNTX1rfw | ||||||||||
| Twitter Bot Tutorial | 12 | 6 years ago | mit | Python | ||||||
| A tutorial on how to make Twitter bots, including bots that generate messages by using Markov chains | ||||||||||
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