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Torch AI VS EBLearn

Compare Torch AI VS EBLearn and see what are their differences

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Torch AI logo Torch AI

Torch is a scientific computing framework for LuaJIT.

EBLearn logo EBLearn

Eblearn is an object-oriented C++ library that implements various machine learning models, including energy-based learning, gradient-based learning for machine composed of multiple heterogeneous modules.
  • Torch AI Landing page
    Landing page //
    2019-09-21
  • EBLearn Landing page
    Landing page //
    2019-09-27

Category Popularity

0-100% (relative to Torch AI and EBLearn)

Torch AI

EBLearn

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Image Processing
0 0%
Image Processing
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
OCR
0 0%
OCR
100% 100

User comments

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Social recommendations and mentions

Based on our record, Torch AI should be more popular than EBLearn. It has been mentiond 3 times since March 2021. 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.

Torch AI mentions (3)

  • About luarocks, Lua ecosystem, etc.
    Here is the url to Torch: http://torch.ch/. Source: about 1 year ago
  • #
    I think you can use torch7 to do data science things but its development is a bit halted or something like that. It was pretty cool tho, you would have a C-level fast interpreter (LuaJIT) using a nice library. Source: about 2 years ago
  • iNeural : Update (8.12.21)
    It is developed by taking inspiration from libraries such as iNeural, FANN, pylearn2, EBLearn, Torch7. Written mostly in C++, iNeural also leverages the power of Python. The biggest reason for its development is that it needs very few dependencies. For this reason, it is expected to be suitable for working in systems with limited system requirements. - Source: dev.to / over 2 years ago

EBLearn mentions (1)

  • iNeural : Update (8.12.21)
    It is developed by taking inspiration from libraries such as iNeural, FANN, pylearn2, EBLearn, Torch7. Written mostly in C++, iNeural also leverages the power of Python. The biggest reason for its development is that it needs very few dependencies. For this reason, it is expected to be suitable for working in systems with limited system requirements. - Source: dev.to / over 2 years ago

What are some alternatives?

When comparing Torch AI and EBLearn, you can also consider the following products

Pylearn2 - Pylearn2 is a library for machine learning research.

Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.

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

Cloudimage - Cloudimage.io is the easiest way to resize, store, and deliver your images to your customers through a rocket fast CDN.

Caffe - Caffe is an open source, deep learning framework.

Sparkcentral - Good old fashioned customer service, delivered in a high tech way

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