1 repo
Awesome GitHub RepositoriesModel Parsers
Tools that read and interpret machine learning model files into structured data formats without executing the underlying code.
Distinguishing note: Focuses on the static parsing and structural interpretation of model files rather than training or inference execution.
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Awesome Model Parsers GitHub Repositories
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- lutzroeder/netron
lutzroeder/netron
32,413View on GitHubNetron is a visualizer for neural network and machine learning models. It provides a graphical interface that renders model architectures as interactive node-link diagrams, allowing users to inspect internal layers, tensors, and metadata. By performing static analysis, the tool enables the examination of model definitions without executing the underlying machine learning code. The software distinguishes itself through a schema-driven parsing engine that translates diverse proprietary model formats into a unified internal graph structure. This approach ensures interoperability, allowing users
Parses binary and text-based model files into a unified internal graph structure without executing the underlying machine learning code.
JavaScriptaicoremldeep-learning
