NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
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Updated
Apr 11, 2020 - Python
NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
A TensorFlow implementation of Neural Sequence Labeling model, which is able to tackle sequence labeling tasks such as POS Tagging, Chunking, NER, Punctuation Restoration and etc.
Alternative casync implementation
webpack 2, react hotloader 3, react router v4, code splitting and more
Грамматический Словарь Русского Языка (+ английский, японский, etc)
Labelling Sequential Data in Natural Language Processing with R - using CRFsuite
Fast multi-threaded content-dependent chunking deduplication for Buffers in C++ with a reference implementation in Javascript. Ships with extensive tests, a fuzz test and a benchmark.
Extract and align grammar patterns from English sentences.
Sequence Labeling in Tensorflow
Material design icons by Google for Vue.js & Nuxt.js (server side support & inline svg with path)
SAPO
Mishtar: Named and temporal entities chunker
Sequence Labeling models
Content-Defined Chunking for Rust
Binary chunking that can be reassembled out-of-order.
content addressable image store
Content-Addressable File System (used by BitWrk)
FastCDC implementation in Python https://pypi.org/project/fastcdc/
Gene's SMTP server — receive Internet mail with less fuss
Chapter 10: Multi-task Learning
Coding Chunkers as Taggers: IO, BIO, BMEWO, and BMEWO+
Python/NLTK-based package for shallow parsing of Brazilian Portuguese
A Javascript automation tool to convert data (file, image etc.) to blob object and vice-versa.
A C# library which implements various wrappers around the StackExchange.Redis client, specifically using Newtonsoft.Json serialisation; Such as streamed reading/writing and sliding expiration.
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While trying to improve interoperability between casync and desync, I found it useful to have a visualization of the file formats.
Using the .ksy at https://gist.github.com/tomberek/a376495de8f43c65499e85b9d1e388f9 along with the in-browser IDE at https://ide.kaitai.io/# you can explore the file formats for .catar and .caidx (still working on .caibx).
This might make it easier to explain/do