TrainInvaders VS nlp-class

Compare TrainInvaders vs nlp-class and see what are their differences.

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TrainInvaders nlp-class
19 2
93 152
- -
0.0 0.0
over 2 years ago about 3 years ago
C Jupyter Notebook
MIT License GNU General Public License v3.0 only
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.

TrainInvaders

Posts with mentions or reviews of TrainInvaders. We have used some of these posts to build our list of alternatives and similar projects.

nlp-class

Posts with mentions or reviews of nlp-class. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing TrainInvaders and nlp-class you can also consider the following projects:

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

NYU-DLSP20 - NYU Deep Learning Spring 2020

typedb-ml - TypeDB-ML is the Machine Learning integrations library for TypeDB

ecco - Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).

ruby-fann - Ruby library for interfacing with FANN (Fast Artificial Neural Network)

MachineLearningWithPython - Get started with Machine Learning with Python - An introduction with Python programming examples

Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

2D-Gaussian-Splatting - A 2D Gaussian Splatting paper for no obvious reasons. Enjoy!