Search Results for "model-builder"

KherveTeX is a document editor that produces real LaTeX and tracks every change with Git — giving you the ease of a word processor and the typesetting quality of LaTeX, without ever touching a .tex file by hand. Write documents visually with familiar formatting tools. KherveTeX maintains a clean document model and serializes it to LaTeX, then compiles to PDF via the bundled Tectonic engine — no external LaTeX installation required. The PDF preview updates as you work. Every save is an automatic Git commit, so you get full revision history, diff views, and the ability to roll back to any earlier version of your document. Push to GitHub for cloud backup and collaboration. ...

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. DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier. A pre-trained English model is available for use and can be downloaded following the instructions in the usage docs. If you want to use the pre-trained English model for performing speech-to-text, you can download it (along with other important inference material) from the DeepSpeech releases page.

...The search engine mode, on the basis of the precise mode, divides the long words again to improve the recall rate, which is suitable for word segmentation in search engines. The paddle mode uses the PaddlePaddle deep learning framework to train the sequence labeling (bidirectional GRU) network model to achieve word segmentation. Also supports part-of-speech tagging. To use paddle mode, you need to install paddlepaddle-tiny, pip install paddlepaddle-tiny==1.6.1. Currently paddle mode supports jieba v0.40 and above. For versions below jieba v0.40, please upgrade jieba, pip install jieba --upgrade.