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hybrid-predict-trainer-rs

v0.2.0 Experimental

Hybridized predictive training framework with warmup, full-train, predict, and residual correction phases for accelerated deep learning

MIT Edition 2021 MSRV 1.92
AlgorithmsScienceMathematics #machine-learning#deep-learning#gpu#training#predictive

Quick Verdict

  • โœ“Actively maintained (updated 48d ago)
  • !Pre-1.0: API may have breaking changes
  • !Heavy dependency tree (27 direct deps)
  • โœ“Permissive license (MIT)

Security

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Downloads
77
Dependents
3
Releases
2
Size
441KB

Deep Insights

๐Ÿ“‰
Download decline

34 downloads in the last 30 days, down 21% from the previous period. May indicate migration to alternatives.

๐Ÿ“ฆ
Heavy dependency tree

27 direct dependencies. Consider the impact on compile times and supply chain complexity.

Health Breakdown

Maintenance 11/25

Recency, release consistency, active ratio

Quality 13/25

Yanked ratio, deps, size, maturity, features

Community 8/20

Reverse deps, ownership, ecosystem

Popularity 2/15

Downloads, momentum, growth trend

Documentation 15/15

Docs, repo, license, metadata

Download Trend

Daily downloads ยท last 90 days
1/day avg
051012/291/162/32/213/113/28

Top Dependents

Most downloaded crates that depend on hybrid-predict-trainer-rs

Version Adoption

v0.2.0
78%
v0.1.0
22%

Release Timeline

2 releasessince 2026
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Feature Flags

default =["std", "ndarray"]

std*cudafullwgpuasynccandlendarray*autodiffecosystem

README

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Maintainers

Dependencies
27
direct dependencies
Dependents
3
crates depend on hybrid-predict-trainer-rs

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