Each uploaded file is scored by a fixed-structure neural net that labels it known (resembling the training set) or unknown — novelty detection over the first 16 + last 16 bytes (scaled to [0,1]), Dense(32->64->16->2), argmax. - src/model.jl: shared architecture + byte->feature mapping (trainer + server) - src/classify.jl: load committed artifact, classify a file at inference - bin/train.jl: offline trainer, 1:1 blended negatives (random + grab-bag), seeded 80/20 split, writes model/classifier.jld2 - worker: classify (annotate-only) and log classification=known|unknown - config: FS_MODEL_PATH; server fails fast if the artifact is missing - deps: Lux, JLD2, Optimisers, Zygote
27 lines
717 B
TOML
27 lines
717 B
TOML
name = "FileServer"
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uuid = "b3f1c2d4-5e6a-4b7c-8d9e-0f1a2b3c4d5e"
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version = "0.1.0"
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authors = ["wardjm@gmail.com"]
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[deps]
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HTTP = "cd3eb016-35fb-5094-929b-558a96fad6f3"
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JLD2 = "033835bb-8acc-5ee8-8aae-3f567f8a3819"
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JSON3 = "0f8b85d8-7281-11e9-16c2-39a750bddbf1"
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Logging = "56ddb016-857b-54e1-b83d-db4d58db5568"
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Lux = "b2108857-7c20-44ae-9111-449ecde12c47"
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Optimisers = "3bd65402-5787-11e9-1adc-39752487f4e2"
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Oxygen = "df9a0d86-3283-4920-82dc-4555fc0d1d8b"
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UUIDs = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"
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Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
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[compat]
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HTTP = "1.11.0"
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JLD2 = "0.6.4"
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JSON3 = "1.14.3"
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Logging = "1.11.0"
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Lux = "1.31.4"
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Optimisers = "0.4.7"
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Oxygen = "1.10.2"
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UUIDs = "1.11.0"
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Zygote = "0.7.11"
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