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Tag: Machine learning
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A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.

  • mnn
  • convolution
  • vulkan
  • embedded-devices

Header-Only C++ Library for Graph Representation and Algorithms

  • search-algorithm
  • dijkstra-algorithm
  • graph
  • graph-algorithms

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

  • optimization
  • optimization-algorithms
  • optimization-methods
  • optimization-problem

Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.

  • arithmetic
  • integer-arithmetic
  • fixed-point-arithmetic
  • rational-arithmetic

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.