github Not archived

allegro/allRank

allRank is a framework for training learning-to-rank neural models based on PyTorch.

1 awesome list

Quick read

Stars
1,010
Forks
130
Open issues
18
Commits
86

Activity and growth

Latest capture 2026-10-06 03:12

Stars · last 7 days
No history
Commits · last 7 days
No history
Stars since tracking
+5
Stored snapshots
9

Classification

Metadata

Language
Python
License
Apache-2.0
Default branch
master
Created
2019-10-10
First commit
2019-10-10
Last pushed
2024-08-06
GitHub updated
2026-10-01
Last synced
2026-10-06 03:12
Stack scanned
2026-10-06 03:12
Archived
No

Archive status reflects the last catalog sync, not a maintenance assessment. Check recent releases, issue responses, and fit for your project with the repository shortlisting checklist.

AI development signals

0 paths

Agent instructions and tool configuration found in this repository.

No config files detected.

Growth history

Tracked growth

9 observed captures since 2026-05-22. Observed captures are shown by default.

Stars from first capture +5

Chart data

Observed captures only

Time horizon

All tracked data

Custom date range

Stars history

Observed snapshots

Commits history

Observed snapshots

Similar repositories

Nearest indexed repositories by embedding similarity.

metarank/metarank

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

2,449 stars
Scala 1 awesome list

AnswerDotAI/rerankers

A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.

1,631 stars
Python 1 awesome list

RUCAIBox/R1-Searcher

R1-searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

727 stars
Python 1 awesome list