iNeural : Update (8.12.21)

Data Science And Machine Learning Data Dashboard Image Processing

Torch AI Landing Page

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Torch AI

Torch is a scientific computing framework for LuaJIT.

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.

#Data Science And Machine Learning #Data Science Tools #Python Tools 3 social mentions
Pylearn2 Landing Page
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Pylearn2

Pylearn2 is a library for machine learning research.
Pricing:
- Open Source
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.

#Data Science And Machine Learning #Data Science Tools #Python Tools 1 social mentions
EBLearn Landing Page

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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.

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.

#Image Processing #OCR #Image Optimisation 1 social mentions