DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
machine-learning
deep-learning
tensorflow
neural-networks
embedded
speech-recognition
deepspeech
offline
on-device
speech-to-text
Обновлено 2024-09-04 00:17:43 +03:00
ESE is an embedded / ISAM-based database engine, that provides rudimentary table and indexed access. However the library provides many other strongly layered and and thus reusable sub-facilities as well: A Synchronization / Locking library, a Data-structures / STL-like library, an OS-abstraction layer, and a Cache Manager, as well the full blown database engine itself
Обновлено 2024-02-28 02:46:57 +03:00
Interactive Neural Machine Translation-lite (INMT-lite) is a framework to train and develop lite versions (.tflite) of models for neural machine translation (NMT) that can be run on embedded devices like mobile phones and tablets that have low computation power and space. The tflite models generated can be used to build the offline version of INMT mobile, a mobile version of INMT web.
Обновлено 2023-10-20 12:21:26 +03:00
Enclave ready EVM (eEVM) is an open-source, standalone, embeddable, C++ implementation of the Ethereum Virtual Machine.
Обновлено 2023-07-10 16:19:39 +03:00
Distributed word embedding
Обновлено 2016-10-24 05:52:50 +03:00
Distributed skipgram mixture model for multisense word embedding
Обновлено 2016-06-23 06:29:52 +03:00