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.
- gbdt
- gbm
- machine-learning
- data-mining
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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 Modern C++ Data Sciences Toolkit
- nlp
- nlp-parsing
- search-engine
- inverted-index
oneAPI Data Analytics Library (oneDAL)
- onedal
- data-analysis
- oneapi
- machine-learning
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.
- svm
- regression
- classification
- machine-learning
Implementation of the superpixel algorithm called SEEDS [1].
- superpixels
- superpixel-algorithm
- opencv
- computer-vision