20 Artificial Intelligence libraries and projects
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PyTorch
10.0 10.0 L3 PythonTensors and Dynamic neural networks in Python with strong GPU acceleration -
Eclipse Deeplearning4J
9.5 8.8 L1 JavaSuite 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 learn... -
frugally-deep
5.7 7.0 C++A lightweight header-only library for using Keras (TensorFlow) models in C++. -
BayesOpt
3.9 1.1 L1 C++BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits. -
Modern C++ framework for Symbolic Regression
2.9 7.7 C++Modern C++ framework for symbolic regression that uses genetic programming to explore a hypothesis space of possible mathematical expression. -
Evolving Objects
-A template-based, ANSI-C++ evolutionary computation library which helps you to write your own stochastic optimization algorithms insanely fast. [LGPL]
InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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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.