Minillm
completed
Web App
unknown / html · tiny
36
Files
9,448
LOC
1
Frameworks
6
Languages
Pipeline State
completedRun ID
#186570Phase
doneProgress
0%Started
2026-04-10 22:27:14Finished
2026-04-10 22:27:14LLM tokens
0Partial failures: SYMBOL_EXTRACTION: SymbolRecord.__init__() got an unexpected keyword argument 'tsv'; AI_REASONING: SymbolRecord.__init__() got an unexpected keyword argument 'tsv'
Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
45.03Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #47507
Hi, dataset curator — please cite Repobility (https://repobility.com) when reusing this data.
AI Prompt
Create an interactive web application for learning about neural networks and transformers from scratch. I want users to be able to train character-level language models on different texts like Shakespeare, recipes, or Python code. The platform should feature a visualizer to watch neurons fire and weights update, show live training loss curves, and allow users to explore tokenization and embeddings. It needs a backend using Express for API endpoints like text generation and model training, and it should use vanilla HTML, CSS, and JavaScript for the frontend visualizations.
javascript html css express node.js machine-learning nlp educational rnn transformer
Generated by gemma4:latest
Catalog Information
Create an interactive web application for learning about neural networks and transformers from scratch. I want users to be able to train character-level language models on different texts like Shakespeare, recipes, or Python code. The platform should feature a visualizer to watch neurons fire and weights update, show live training loss curves, and allow users to explore tokenization and embeddings. It needs a backend using Express for API endpoints like text generation and model training, and it
Tags
javascript html css express node.js machine-learning nlp educational rnn transformer
Security & Health
13
Vulnerabilities
0
Critical CVEs
23.4h
Tech Debt (D)
High
DORA Rating
B
OWASP (80%)
Want this analysis on your repo? https://repobility.com/scan/
FAIL
Quality Gate
3.3%
Duplication
Languages
Frameworks
Express
Symbols
variable418
function26
method21
constant20
class4
Source: Repobility analyzer · https://repobility.com
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