Need advice about which tool to choose?Ask the StackShare community!

Caffe

49
53
+ 1
0
PyTorch

868
963
+ 1
33
Add tool

PyTorch vs Caffe: What are the differences?

PyTorch: A deep learning framework that puts Python first. PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc; Caffe: A deep learning framework. It is a deep learning framework made with expression, speed, and modularity in mind.

PyTorch and Caffe can be categorized as "Machine Learning" tools.

PyTorch and Caffe are both open source tools. PyTorch with 32.4K GitHub stars and 8K forks on GitHub appears to be more popular than Caffe with 29.2K GitHub stars and 17.6K GitHub forks.

Get Advice from developers at your company using Private StackShare. Sign up for Private StackShare.
Learn More
Pros of Caffe
Pros of PyTorch
    Be the first to leave a pro
    • 11
      Easy to use
    • 9
      Developer Friendly
    • 8
      Easy to debug
    • 5
      Sometimes faster than TensorFlow

    Sign up to add or upvote prosMake informed product decisions

    Cons of Caffe
    Cons of PyTorch
      Be the first to leave a con
      • 2
        Lots of code

      Sign up to add or upvote consMake informed product decisions

      What is Caffe?

      It is a deep learning framework made with expression, speed, and modularity in mind.

      What is PyTorch?

      PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Caffe?
      What companies use PyTorch?
      See which teams inside your own company are using Caffe or PyTorch.
      Sign up for Private StackShareLearn More

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Caffe?
      What tools integrate with PyTorch?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      Blog Posts

      +14
      11
      2010
      Dec 4 2019 at 8:01PM

      Pinterest

      +4
      5
      2901
      What are some alternatives to Caffe and PyTorch?
      TensorFlow
      TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
      Torch
      It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation.
      Caffe2
      Caffe2 is deployed at Facebook to help developers and researchers train large machine learning models and deliver AI-powered experiences in our mobile apps. Now, developers will have access to many of the same tools, allowing them to run large-scale distributed training scenarios and build machine learning applications for mobile.
      Keras
      Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
      MXNet
      A deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, it contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly.
      See all alternatives
      How developers use Caffe and PyTorch
      Yonas Tesh uses
      PyTorch

      I used PyTorch when i was working on an AI application, image classification using deep learning.