edward2 VS Knet.jl

Compare edward2 vs Knet.jl and see what are their differences.

edward2

A simple probabilistic programming language. (by google)
bayesian-methods Deep Learning Machine Learning Data Science Tensorflow neural-networks Statistics probabilistic-programming
Source Code
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Knet.jl

Koç University deep learning framework. (by denizyuret)
knet Deep Learning Julia Machine Learning neural-networks Data Science
Source Code
denizyuret.github.io
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edward2 Knet.jl
1 1
664 1,418
1.1% -
6.4 0.0
5 months ago almost 2 years ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 GNU General Public License v3.0 or later
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.

Knet.jl

Posts with mentions or reviews of Knet.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-15.

What are some alternatives?

When comparing edward2 and Knet.jl you can also consider the following projects:

conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

Flux.jl - Relax! Flux is the ML library that doesn't make you tensor

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

machine-learning-roadmap - A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

probability - Probabilistic reasoning and statistical analysis in TensorFlow

ThreeBodyBot - Poorly written code that generates moderately exciting plots of a very specific physics phenomenon that enthralls dozens of us around the globe.

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

MLBase.jl - A set of functions to support the development of machine learning algorithms

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

tensorflow - An Open Source Machine Learning Framework for Everyone

geomstats - Computations and statistics on manifolds with geometric structures.

machine-learning - 🤖 Repository with machine learning algorithms and implementations

edward2 vs conformal_classification Knet.jl vs Flux.jl edward2 vs uncertainty-baselines Knet.jl vs machine-learning-roadmap edward2 vs probability Knet.jl vs ThreeBodyBot edward2 vs cracking-the-data-science-interview Knet.jl vs MLBase.jl edward2 vs ML-Workspace Knet.jl vs tensorflow edward2 vs geomstats Knet.jl vs machine-learning