Neupy VS PyMC

Compare Neupy vs PyMC and see what are their differences.

Neupy

NeuPy is a Tensorflow based python library for prototyping and building neural networks (by itdxer)
Science and Data analysis Deep Learning deep-neural-networks Deeplearning neural-network artificial-neural-networks Neupy Tensorflow Som Sofm Hopfield Rbm boltzmann-machine Pnn Lvq
Source Code
neupy.com
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PyMC

Bayesian Modeling and Probabilistic Programming in Python (by pymc-devs)
Science and Data analysis Python statistical-analysis bayesian-inference Mcmc variational-inference probabilistic-programming pytensor
Source Code
docs.pymc.io
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Neupy PyMC
- 3
740 8,155
- 1.2%
0.0 9.5
over 1 year ago 1 day ago
Python Python
MIT License 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.

Neupy

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

We haven't tracked posts mentioning Neupy yet.
Tracking mentions began in Dec 2020.

PyMC

Posts with mentions or reviews of PyMC. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-06.
  • PYMC Release: v5.0.0
    1 project | news.ycombinator.com | 12 Dec 2022
  • An Astronomer's Introduction to NumPyro
    1 project | news.ycombinator.com | 17 Aug 2022
    I believe the pymc versions were resolved into developing version 4 of pymc. Development at https://github.com/pymc-devs/pymc

    It still depends on theano now evolved and renamed

  • What is Probabilistic Programming?
    4 projects | /r/learnmachinelearning | 6 Sep 2021
    This tutorial explains what is probabilistic programming & provides a review of 5 frameworks (PPLs) using an example taken from Chapter 4 of Statistical Rethinking by Dr. Richard McElreath. Frameworks (PPLs) reviewed are - Stan (https://mc-stan.org/) PyMC3 (https://docs.pymc.io/) Tensorflow Probability (https://www.tensorflow.org/probability) Pyro/NumPyro (https://pyro.ai/) Turing.jl (https://turing.ml/stable/) I also provide the basic review of a great library called arviz (https://arviz-devs.github.io/arviz/), which can be used for all the above-mentioned PPLs to do Exploratory Data Analysis of Bayesian Models. Here is the link to the notebook in which I have implemented the example model using the above Frameworks/PPLs https://colab.research.google.com/drive/1zgR2b0j2waGi1ppnIe1rw7emkbBXtMqF?usp=sharing

What are some alternatives?

When comparing Neupy and PyMC you can also consider the following projects:

orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis

statsmodels - Statsmodels: statistical modeling and econometrics in Python

Numba - NumPy aware dynamic Python compiler using LLVM

Dask - Parallel computing with task scheduling

NumPy - The fundamental package for scientific computing with Python.

stan - Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

SymPy - A computer algebra system written in pure Python

RDKit - The official sources for the RDKit library

pyro - Deep universal probabilistic programming with Python and PyTorch

Neupy vs orange PyMC vs statsmodels Neupy vs Numba PyMC vs Dask Neupy vs NumPy PyMC vs stan Neupy vs Pandas PyMC vs Numba Neupy vs SymPy PyMC vs SymPy Neupy vs RDKit PyMC vs pyro