14dl/month
Identifier
Model ID
akwancakra/nids-model-cnn-bilstm-aeTags
kerasnetwork-securityintrusion-detectionanomaly-detectionautoencodercnn-bilstmtensorflowtabular-classificationdataset:cic-ids-2017dataset:cse-cic-ids-2018license:mitregion:us
Use nids-model-cnn-bilstm-ae on Mixpeek
Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.
Open StudioHow It Runs on Mixpeek
On Mixpeek, nids-model-cnn-bilstm-ae runs as a managed extractor inside a processing pipeline. Point a bucket of tabular classification data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.
Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.
Specification
Organizationakwancakra
TaskTabular Classification
Librarykeras
Licensemit
Downloads/mo14
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