nlp-tutorial VS nlp_course

Compare nlp-tutorial vs nlp_course and see what are their differences.

nlp_course

YSDA course in Natural Language Processing (by yandexdataschool)
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nlp-tutorial nlp_course
1 6
13,712 9,444
- 0.6%
0.0 8.7
2 months ago 2 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

nlp-tutorial

Posts with mentions or reviews of nlp-tutorial. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-29.

nlp_course

Posts with mentions or reviews of nlp_course. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-29.

What are some alternatives?

When comparing nlp-tutorial and nlp_course you can also consider the following projects:

pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

nlp-recipes - Natural Language Processing Best Practices & Examples

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

course-nlp - A Code-First Introduction to NLP course

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

nlp-in-python-tutorial - comparing stand up comedians using natural language processing

tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).

TokenCut - (CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"

stable_diffusion_arc - Stable Difussion inference on Intel Arc dGPUs