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Caffe VS Scikit-learn

Compare Caffe VS Scikit-learn and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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Caffe logo Caffe

Caffe is an open source, deep learning framework.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Caffe Landing page
    Landing page //
    2019-06-12
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Caffe videos

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Scikit-learn videos

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Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

0-100% (relative to Caffe and Scikit-learn)

Caffe

Scikit-learn

Data Science And Machine Learning
4 4%
Data Science And Machine Learning
96% 96
Machine Learning
100 100%
Machine Learning
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100
AI
100 100%
AI
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Caffe and Scikit-learn

Caffe Reviews

7 Best Computer Vision Development Libraries in 2024
CAFFE, which stands for Convolutional Architecture for Fast Feature Embedding, is a user-friendly open-source framework for deep learning and computer vision. It was developed at the University of California, Berkeley, and is designed to be accessible for various applications.
Source: www.labellerr.com
10 Python Libraries for Computer Vision
Caffe is a deep learning framework known for its speed and efficiency in image classification tasks. It comes with a model zoo containing pre-trained models for various image-related tasks. While it’s slightly less user-friendly than some other libraries, its performance makes it a valuable asset for high-speed image processing applications.
Source: clouddevs.com

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...
Source: searchbusinessanalytics.techtarget.com

Social recommendations and mentions

Based on our record, Scikit-learn seems to be a lot more popular than Caffe. While we know about 28 links to Scikit-learn, we've tracked only 1 mention of Caffe. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Caffe mentions (1)

  • Can someone please guide me regarding these different face detection models?
    Caffe is a DL framework just like TensorFlow, PyTorch etc. OpenPose is a real-time person detection library, implemented in Caffe and c++. You can find the original paper here and the implementation here. Source: almost 3 years ago

Scikit-learn mentions (28)

  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 2 months ago
  • Link Prediction With node2vec in Physics Collaboration Network
    Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 11 months ago
  • WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point
    The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: 12 months ago
  • PSA: You don't need fancy stuff to do good work.
    Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: 12 months ago
  • Help on using R for Machine Learning?
    Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago
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What are some alternatives?

When comparing Caffe and Scikit-learn, you can also consider the following products

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

OpenCV - OpenCV is the world's biggest computer vision library

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

NumPy - NumPy is the fundamental package for scientific computing with Python

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

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