DeepLearningForNLPInPytorch VS TSAI-DeepNLP-END2.0

Compare DeepLearningForNLPInPytorch vs TSAI-DeepNLP-END2.0 and see what are their differences.

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DeepLearningForNLPInPytorch TSAI-DeepNLP-END2.0
1 1
1,901 0
- -
0.0 0.0
over 1 year ago over 2 years 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.

DeepLearningForNLPInPytorch

Posts with mentions or reviews of DeepLearningForNLPInPytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-10.

TSAI-DeepNLP-END2.0

Posts with mentions or reviews of TSAI-DeepNLP-END2.0. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-04.

What are some alternatives?

When comparing DeepLearningForNLPInPytorch and TSAI-DeepNLP-END2.0 you can also consider the following projects:

ml-coursera-python-assignments - Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!

deeplearning-notes - Notes for Deep Learning Specialization Courses led by Andrew Ng.

ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

pytorch-seq2seq - Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

telemanom - A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

text - Models, data loaders and abstractions for language processing, powered by PyTorch