autodl webbrain-one · COMPLETED
A machine learning competition in Automated Deep Learning (AutoDL), co-organized by ChaLearn, Google and 4Paradigm. Accepted at NeurIPS 2019.
github.com/webbrain-one/autodl · ★ 1 · Forks 0 · Size 216.2 MB
SUMMARY
Technologies 9
Scored 9
Observed 9
Practices 6
Evidence 9
Skips 0
COVERAGE
Analyzed 278 files · 711 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
Shell LANGUAGE Depth 70
8 files · PRODUCTION
Markdown LANGUAGE Depth 70
13 files · PRODUCTION
YAML LANGUAGE Depth 70
2 files · PRODUCTION
Python LANGUAGE Depth 70
90 files · PRODUCTION
NumPy LIBRARY Depth 78
46 files · PRODUCTION
RabbitMQ MESSAGE_BROKER Depth 45
1 files · CONFIGURATION
TypeScript LANGUAGE Depth 78
10 files · PRODUCTION
pandas LIBRARY Depth 70
4 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · observedlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2018-04-20
Last commit 2026-08-08
Active months 25
Commits 711