DeepLearning VS conformal_classification

Compare DeepLearning vs conformal_classification and see what are their differences.

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DeepLearning conformal_classification
1 2
3 211
- -
0.0 0.0
almost 2 years ago over 1 year 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.

DeepLearning

Posts with mentions or reviews of DeepLearning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-06.

conformal_classification

Posts with mentions or reviews of conformal_classification. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-04.

What are some alternatives?

When comparing DeepLearning and conformal_classification you can also consider the following projects:

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

learnopencv - Learn OpenCV : C++ and Python Examples

cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

analisis-numerico-computo-cientifico - Análisis numérico y cómputo científico

glasses - High-quality Neural Networks for Computer Vision 😎

Deep-Learning-Experiments - Videos, notes and experiments to understand deep learning

geomstats - Computations and statistics on manifolds with geometric structures.

weightless_NN_decompression - Proof of concept for neural network decompression without storing any weights

chainerrl - ChainerRL is a deep reinforcement learning library built on top of Chainer.

edward2 - A simple probabilistic programming language.