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Jungyoonlim/nanoTrain

https://github.com/Jungyoonlim/nanoTrain · scanned 2026-06-16 04:29 UTC (2 months ago)

8 raw signals (0 security + 8 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months ago · v1 · 8 actionable findings from 1 signal source. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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Combined
82.9
/100
Security checks
83
0 findings
System graph
83
44.4% cov · 8 findings
Critical
0
click to filter
Agents
10
0 votes
Crowd
0
reported
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 0 Medium 2 Low 5 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 8 Crowd 0 Layer: Software 3 Security 1 Quality 4

All 27 nodes from the latest scan, grouped by kind. Each node is a unit the engine identified (file, function, endpoint, table…). Most users won't need this view — it's primarily for debugging the engine's graph extraction or for AI agents that want to enumerate the project structure.

LabelLayerStatusPath
reward_fn software dead grpo.py:27
train_grpo software healthy grpo.py:32
simple_sft_loss software healthy sft.py:26
__init__ software healthy sft.py:56
__len__ software healthy sft.py:90
__getitem__ software healthy sft.py:93
train software healthy sft.py:123
make_preference_data software dead reward.py:18
train_reward_model software healthy reward.py:23
load_agent software healthy main.py:35
agent software healthy main.py:52
generate software healthy main.py:59
main software healthy main.py:99
make_preference_data software dead dpo.py:28
train_dpo software healthy dpo.py:33

LabelLayerStatusPath
grpo.py software healthy grpo.py
compare.py software healthy compare.py
sft.py software healthy sft.py
reward.py software healthy reward.py
README.md software healthy README.md
pyproject.toml software healthy pyproject.toml
LICENSE software healthy LICENSE
main.py software healthy main.py
dpo.py software healthy dpo.py

LabelLayerStatusPath
Jungyoonlim__nanoTrain software healthy /data/fable5_failed_archive/Jungyoonlim__nanoTrain

LabelLayerStatusPath
SFTDataset software healthy sft.py:46

LabelLayerStatusPath
gpu (detected) hardware healthy README.md
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