Hands-On-Meta-Learning-With-Python VS SBERT-for-Question-Answering-on-COVID-19-Dataset

Compare Hands-On-Meta-Learning-With-Python vs SBERT-for-Question-Answering-on-COVID-19-Dataset and see what are their differences.

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Hands-On-Meta-Learning-With-Python SBERT-for-Question-Answering-on-COVID-19-Dataset
2 1
1,123 3
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0.0 0.0
over 2 years ago about 3 years ago
Jupyter Notebook Jupyter Notebook
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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.

Hands-On-Meta-Learning-With-Python

Posts with mentions or reviews of Hands-On-Meta-Learning-With-Python. We have used some of these posts to build our list of alternatives and similar projects.

SBERT-for-Question-Answering-on-COVID-19-Dataset

Posts with mentions or reviews of SBERT-for-Question-Answering-on-COVID-19-Dataset. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Hands-On-Meta-Learning-With-Python and SBERT-for-Question-Answering-on-COVID-19-Dataset you can also consider the following projects:

machine-learning-experiments - 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

EfficientWord-Net - OneShot Learning-based hotword detection.

NYU-DLSP20 - NYU Deep Learning Spring 2020

super-resolution - Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

PySyft - Perform data science on data that remains in someone else's server

t81_558_deep_learning - T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

fastai - The fastai deep learning library

alpha-zero-general - A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

Practical_RL - A course in reinforcement learning in the wild