Veles alternatives and similar libraries
Based on the "Artificial Intelligence" category.
Alternatively, view Veles alternatives based on common mentions on social networks and blogs.
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PyTorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration -
CNTK
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit -
Eclipse Deeplearning4J
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation. -
frugally-deep
Header-only library for using Keras (TensorFlow) models in C++. -
Tulip Indicators
Technical Analysis Indicator Function Library in C -
BayesOpt
BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits. -
Native System Automation
Native cross-platform system automation -
Modern C++ framework for Symbolic Regression
Modern C++ framework for symbolic regression that uses genetic programming to explore a hypothesis space of possible mathematical expression. -
Tulip Cell
TulipCell is an Excel add-in providing 100+ technical analysis indicators. -
Evolving Objects
A template-based, ANSI-C++ evolutionary computation library which helps you to write your own stochastic optimization algorithms insanely fast. [LGPL]
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* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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README
Veles
Distributed platform for rapid Deep learning application development
Consists of:
Platform - https://github.com/Samsung/veles
Znicz Plugin - Neural Network engine
Mastodon - Veles <-> Java bridge for Hadoop etc.
SoundFeatureExtraction - audio feature extraction library
Home page: https://velesnet.ml
Named after https://en.wikipedia.org/wiki/Veles_(god)
Released under Apache 2.0 license. Copyright © Samsung Electronics Co., Ltd., 2013-2015.
*Note that all licence references and agreements mentioned in the Veles README section above
are relevant to that project's source code only.