Gensim is a super-fast and highly efficient Python library for training vector embeddings. Known for its speed, it employs battle-hardened, optimized, and parallelized C routines for core algorithms. Platform-independent, it runs on Linux, Windows, OS X, and other Python-supported platforms.
As an open-source library hosted on Github, Gensim offers ready-to-use models and corpora, making it a versatile and widely adopted machine learning tool.
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