edward2 VS conformal_classification

Compare edward2 vs conformal_classification and see what are their differences.

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edward2 conformal_classification
1 2
664 211
1.1% -
6.4 0.0
5 months ago over 1 year ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 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.

edward2

Posts with mentions or reviews of edward2. We have used some of these posts to build our list of alternatives and similar projects.

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 edward2 and conformal_classification you can also consider the following projects:

Knet.jl - Koç University deep learning framework.

learnopencv - Learn OpenCV : C++ and Python Examples

uncertainty-baselines - High-quality implementations of standard and SOTA methods on a variety of tasks.

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

probability - Probabilistic reasoning and statistical analysis in TensorFlow

glasses - High-quality Neural Networks for Computer Vision 😎

cracking-the-data-science-interview - A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

DeepLearning - Contains all my works, references for deep learning

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

geomstats - Computations and statistics on manifolds with geometric structures.

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