mlpack VS Caffe

Compare mlpack vs Caffe and see what are their differences.

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mlpack Caffe
4 6
4,928 33,980
1.5% 0.2%
9.9 0.0
1 day ago 5 months ago
C++ C++
GNU General Public License v3.0 or later 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.

mlpack

Posts with mentions or reviews of mlpack. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-23.
  • How much C++ is used when it comes to performing quant research?
    1 project | /r/quant | 3 Jul 2023
    Does C++ have the equivalent of Pandas or Apache Spark? Are there extensive libraries that exist/are being developed that allow you to perform operations with data? Or do people just use a combination of Python & its various libraries (NumPy etc)? If we leave aside the data bit, are there libraries that allow you to develop ML models in C++ (mlpack for instance ) faster & more efficiently compared to their Python counterparts (scikit-learn)? On a more general note, how does C++ fit into the routine of a Quant Researcher? And at what scale does an organization decide they need to start switching to other languages and spend more time developing the code ?
  • What is the most used library for AI in C++ ?
    3 projects | /r/cpp_questions | 23 Jan 2022
    mlpack is a great library for machine learning in C++. It's very fast and not too much of a learning curve.
  • Ensmallen: A C++ Library for Efficient Numerical Optimization
    3 projects | news.ycombinator.com | 8 Dec 2021
    This toolkit was originally part of the mlpack machine learning library (https://github.com/mlpack/mlpack) before it was split out into a separate, standalone effort.
  • Top 10 Python Libraries for Machine Learning
    14 projects | dev.to | 9 Sep 2021
    Github Repository: https://github.com/mlpack/mlpack Developed By: Community, supported by Georgia Institute of technology Primary purpose: Multiple ML Models and Algorithms

Caffe

Posts with mentions or reviews of Caffe. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-16.

What are some alternatives?

When comparing mlpack and Caffe you can also consider the following projects:

Dlib - A toolkit for making real world machine learning and data analysis applications in C++

Caffe2

tensorflow - An Open Source Machine Learning Framework for Everyone

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

SHOGUN - Shōgun

mxnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

examples - TensorFlow examples

Porcupine   - On-device wake word detection powered by deep learning

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Did you konow that C++ is
the 6th most popular programming language
based on number of metions?