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Linear Predictive Coding Vector Quantization and Hidden Markov Modeling for speech recognition
Go efficient multilingual NLP and text segmentation; support English, Chinese, Japanese and others.
State Space Models library in JAX
Clustering routines for the unit sphere
Spark library for generalized K-Means clustering. Supports general Bregman divergences. Suitable for clustering probabilistic data, time series data, high dimensional data, and very large data.
Fast and memory-efficient clustering
A script in python to organize your images by similarity.
《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/FM/FFM)的原理讲解与python和类库实现
K-Means clustering - constrained with minimum and maximum cluster size. Documentation: https://joshlk.github.io/k-means-constrained
Source Code for the Book Classic Computer Science Problems in Swift
Android MARY TTS - an open-source, offline HMM-Based text-to-speech synthesis system based on MaryTTS