Analyzed
about 21 hours
ago.
based on code collected
2 days
ago.
Project Summary
TorchJD is a library enabling Jacobian Descent (JD) with PyTorch, to train neural networks with multiple objectives. It is based on the theory from Jacobian Descent For Multi-Objective Optimization and several other related publications.
In a Nutshell, torchjd...
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has a young, but established codebase
maintained by a large development team
with stable Y-O-Y commits -
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took an estimated 3 years of effort (COCOMO model)
starting with its first commit in June, 2024
ending with its most recent commit 3 days ago
Quick Reference
https://github.com/TorchJD/torchjd
MIT
Permitted
Commercial Use
Modify
Distribute
Place Warranty
Use Patent Claims
Forbidden
Sub-License
Hold Liable
Required
Distribute Original
Disclose Source
Include Copyright
State Changes
Include License
Include Install Instructions
These details are provided for information only. No information here is legal advice and should not be used as such.
Project Security
Vulnerabilities per Version ( last 10 releases )
There are no reported vulnerabilities
Project Vulnerability Report
Security Confidence Index
Poor security track-record
Favorable security track-record
Vulnerability Exposure Index
Many reported vulnerabilities
Few reported vulnerabilities
Did You Know...
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30 Day SummaryJun 2 2026 — Jul 2 2026
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12 Month SummaryJul 2 2025 — Jul 2 2026
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