eli5
course-nlp
| eli5 | course-nlp | |
|---|---|---|
| 1 | 11 | |
| 2,730 | 3,390 | |
| 0.8% | 0.0% | |
| 0.0 | 0.0 | |
| about 2 years ago | about 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
eli5
-
How to extract keywords important to a text classification problem?
https://github.com/TeamHG-Memex/eli5 can help you.
course-nlp
-
Need help finding good NLP course
fast.ai also has an NLP course.
- I got a crazy idea how about all the programs here work on making Ms.J a reality
-
A simple and effective way to go from beginner to intermediate level of ML knowledge
fastai already has a course that covers traditional nlp as well
-
Would I be better off with OMSCS or online self-learning?
My question: How do you think high-quality online resources such as https://missing.csail.mit.edu/, https://fullstackopen.com/en/, http://allendowney.github.io/ThinkBayes2/, https://www.fast.ai/2019/07/08/fastai-nlp/ compare to the online education from OMSCS? Do any of my reasons above ring false for you?
-
Suggestions on My Learning Path
8 - Code-First Introduction to Natural Language Processing - fast.ai
-
Ex-Googlers raise $40M to democratize natural-language AI
fast.ai are doing the best work democratizing AI (machine learning and neural networks), including natural language
Can't recommend the course enough and it's incredible that such a quality resource is available for essentially zero cost
https://github.com/fastai/course-nlp
https://www.youtube.com/playlist?list=PLtmWHNX-gukKocXQOkQju...
-
Anyone have deep learning textbook recommendations, specifically focused on NLP?
fastai nlp course
- Good NLP Course
-
Matrix Factorization Approaches to Topic Modeling
[1] Chapter on LSI from Introduction to Information Retrieval [2] A Code-First Approach to Natural Language Processing by fast.ai [3] Computational Linear Algebra by fast.ai [4] https://www.cc.gatech.edu/~hpark/papers/nmf_book_chapter.pdf
-
OPEN SOURCE COMPUTER SCIENCE CURRICULUM
NLP
What are some alternatives?
lime - Lime: Explaining the predictions of any machine learning classifier
deeplearning-notes - Notes for Deep Learning Specialization Courses led by Andrew Ng.
linear-tree - A python library to build Model Trees with Linear Models at the leaves.
argos-translate - Open-source offline translation library written in Python
ML-Workspace - 🛠All-in-one web-based IDE specialized for machine learning and data science.
graph_summarizer - summarize text using graphs and language vector models
cornell-cs5785-2020-applied-ml - Teaching materials for the applied machine learning course at Cornell Tech (online edition)
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.
nlp_course - YSDA course in Natural Language Processing
mlforecast - Scalable machine 🤖 learning for time series forecasting.
medspacy - Library for clinical NLP with spaCy.