Trending repositories

Ranked by Attention Score: stars gained over the last 90 complete days

Period

Sort order

Tags: NLP library

1.knights-analytics / hugot

Onnx transformer pipelines in Golang

Go APACHE-2.0661 total50 forks

+28 stars

from 633 · score 3.37

2.go-ego / gse

Go efficient fast multilingual NLP and text segmentation; support English, Chinese, Japanese and others.

go
segment
nlp
gse
hmm
jieba
+5 more

Go APACHE-2.02.8K total233 forks

+16 stars

from 2,831 · score 2.83

3.pemistahl / lingua-go

The most accurate natural language detection library for Go, suitable for short text and mixed-language text

natural-language-processing
language-detection
language-recognition
language-classification
language-identification
language-processing
+6 more

Go APACHE-2.01.4K total81 forks

+13 stars

from 1,356 · score 2.64

4.ikawaha / kagome

Self-contained Japanese Morphological Analyzer written in pure Go

japanese
tokenizer
nlp-library
japanese-language
pos-tagging
segmentation
+3 more

Go MIT987 total61 forks

+12 stars

from 975 · score 2.56

5.mozillazg / go-pinyin

TranslatedConvert Chinese characters to pinyin

go
pinyin
golang
hanzi
hanzi-pinyin
chinese

Go MIT1.8K total207 forks

+11 stars

from 1,785 · score 2.48

6.olebedev / when

A natural language date/time parser with pluggable rules

natural-language
datetime
date
time
parser
golang

Go APACHE-2.01.5K total97 forks

+6 stars

from 1,458 · score 1.95

7.nlpodyssey / spago

Self-contained Machine Learning and Natural Language Processing library in Go

deep-learning
machine-learning
natural-language-processing
neural-network
computation-graph
automatic-differentiation
+13 more

Go BSD-2-CLAUSE1.9K total87 forks

+5 stars

from 1,848 · score 1.79

8.abadojack / whatlanggo

Natural language detection library for Go

language
go
nlp
text-processing

Go MIT697 total66 forks

+5 stars

from 692 · score 1.79

9.james-bowman / nlp

Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang

go
golang
natural-language-processing
nlp
lsa
latent-semantic-analysis
+14 more

Go MIT477 total46 forks

+1 stars

from 476 · score 0.69

10.DavidBelicza / TextRank

:wink: :cyclone: :strawberry: TextRank implementation in Golang with extendable features (summarization, phrase extraction) and multithreading (goroutine).

go
golang
textrank
summarization
token
sentence-classification
+2 more

Go MIT224 total25 forks

+1 stars

from 223 · score 0.69

Order: Attention Score

Most net stars gained in the window first. The score only puts this gain on a log scale, so the order is the order of the gain.

How the ranking works

Ranked by stars gained in the window. The score is the natural log of one plus that gain, so a repository's rank is exactly its star gain's rank.

score = log1p(net stars gained in the trailing T complete UTC days)

A repository is ranked only when its Star History covers every day of the window and its latest Observation is not missing.

The longest window is 180 days. Star History from the Repository Host goes back at most 180 days before the first daily record that AwesomeRepos made for the repository. A longer window needs more of these daily records first. A repository younger than the window does not rank in it.

The filters select from the same eligible repositories. A repository matches the topics when it has any of them. Total stars is the count now. Last push and creation on the Repository Host count back from the start of today (UTC). The counts beside the languages, licenses, and topics include all ranked repositories in the window. A Tag holds the repositories that have it. See Tags.

A new repository enters the index when it gains stars faster than the published admission threshold, whatever its size. A repository stays in the index after it enters. Thus an archived repository can still rank.

Browse the Repository Index