PyPI Stats
lucidrains

hl-gauss-pytorch

The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch
PyPI GitHub
Downloads
Day
389
Week
1.3K
Month
3.7K
Stars
79
Forks
4
Issues
0
Version
0.2.3

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
80
Popularity
33
Adoption
35
Community
10
How the maintenance status was determined
Last commit
33 days ago
Monthly downloads
3,706
Active
Activity within 30 days
• Stable
Activity within 31-180 days
Minimal
Activity within 181-365 days, or no activity data
At Risk
No activity for > 365 days, but > 10,000 monthly downloads
Archived
Repository flagged as archived on GitHub
How the popularity category was determined
Monthly downloads
3,706
Stars
79
Stars per 1k downloads
21.32
Industry Standard
> 10,000,000 monthly downloads
Hidden Gem
< 0.5 stars per 1k downloads and > 100,000 monthly downloads
• Community Favorite
> 5 stars per 1k downloads
Rising Star
Balanced ratio of stars to downloads
Unknown
Fewer than 1,000 monthly downloads, or no star data
How download momentum is calculated
Week daily avg
190
Month daily avg
124
Momentum
—
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Momentum not reported for packages with < 5,000 monthly downloads — percentages are noisy at low volume.
Python version support tiers
requires_python
>=3.9
Cutting Edge
Minimum supported version is 3.12 or newer
• Modern
Minimum supported version is 3.9, 3.10, or 3.11
Legacy
Supports 3.8 or older (or Python 2)
Unknown
No requires_python specified or unparseable
License categories
License
MIT License
• Permissive
MIT, Apache, BSD, ISC, Unlicense, CC0, etc.
Copyleft
GPL, LGPL, AGPL, MPL, EPL, etc.
Proprietary
Commercial, all rights reserved, custom EULAs
Unknown
No license specified, or none of the above match
How the release cadence was determined
Last release
33 days ago
Total releases
35
Releases/year
28.1
• Rapid
Last release within 365 days and > 12 releases/year
Regular
Last release within 365 days
Slow
Last release 366-730 days ago
Stalled
Last release > 730 days ago, or no releases
Unknown
No usable release date available
How contributor risk was determined
Contributors
1
Monthly downloads
3,706
High Load
≤ 2 contributors and ≥ 50,000 monthly downloads
Moderate Load
< 10 contributors and ≥ 500,000 monthly downloads
Low Load
< 25 contributors and ≥ 5,000,000 monthly downloads, or sole maintainer with ≥ 10,000 monthly downloads
• Balanced
Enough contributors for the package's popularity
Unknown
No contributor data available
Engagement
16
 
Issue Burden
-
per 1k stars
Discussions
-
per 1k stars
Fork Ratio
25.0%
contrib / forks
Stale Release
No
 
PR Velocity
Active
 

Weekly Downloads

GitHub Stars

Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 26
Windows 4

Python Versions

3.12
40.0% 12
3.9
33.3% 10
3.10
20.0% 6
3.11
6.7% 2

Top Countries

1. US US
25
2. RU RU
4
3. FR FR
2
4. JP JP
2
5. NL NL
2
6. SG SG
2
7. CA CA
1

Package Information

License
MIT License
First Release
February 6, 2025
Last Release
1 month ago
Last Commit
1 month ago
Latest Version
0.2.3
Total Releases
35
Contributors
1
Open PRs
1
Archived
No
Python Versions
3.9
Wheels
py3
Keywords
artificial intelligence deep learning regression as classification
Topics
artificial-intelligence deep-learning regression-as-classification reinforcement-learning
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links