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Torch

Torch

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What is Torch?

PyTorch is an open-source machine learning framework based on the Torch library, used for applications such as computer vision and natural language processing. It is primarily developed by Meta AI. It is known for its flexibility and ease of use, particularly with dynamic computation graphs, making it popular for research and rapid prototyping. It's also widely used in production due to its robust ecosystem and support for deploying models.

What other technologies are related to Torch?

Torch Competitor Technologies

Theano was a Python library that allowed you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays. It competed with Torch in the deep learning space.
mentioned alongside Torch in 27% (573) of relevant job posts
Caffe is a deep learning framework that competed with Torch, particularly known for its speed and image processing capabilities.
mentioned alongside Torch in 17% (853) of relevant job posts
Deeplearning4j is a deep learning library for the JVM. It competed with Torch.
mentioned alongside Torch in 65% (102) of relevant job posts
TensorFlow is a widely used deep learning framework that competed with Torch.
mentioned alongside Torch in 2% (3.2k) of relevant job posts
Microsoft CNTK (Cognitive Toolkit) was a deep learning framework that competed with Torch.
mentioned alongside Torch in 47% (55) of relevant job posts
Caffe2 is a deep learning framework that competed with Torch, emphasizing mobile deployment.
mentioned alongside Torch in 12% (80) of relevant job posts

Torch Complementary Technologies

Torch can utilize GPUs for accelerated computation. GPU experience is complementary for optimizing the use of Torch.
mentioned alongside Torch in 79% (59) of relevant job posts
Plotly can be used to visualize data and results from Torch models, making it a complementary technology.
mentioned alongside Torch in 30% (64) of relevant job posts
Keras is a high-level API that can run on top of different deep learning frameworks, including TensorFlow, and Theano. Using Keras can simplify building models. It is complementary to Torch as it provides a higher level API.
mentioned alongside Torch in 2% (861) of relevant job posts

Which organizations are mentioning Torch?

Organization
Industry
Matching Teams
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Torch
NVIDIA
Scientific and Technical Services
Torch
Apple
Scientific and Technical Services

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