0xhalfmoonkid/onnx-test-models
By 0xhalfmoonkid · ↓ 0 · ♥ 0 · Updated 2025-10-07
What's in this repo
This page lists the files in 0xhalfmoonkid/onnx-test-models, including autoencoder_40features.onnx, cnn_mnist_28x28.onnx, decision_tree_15features_depth8.onnx and more.
- 38 ONNX models (.onnx files)
- 39 files, including 38 .onnx
- Last updated 2025-10-07
ONNX files
| File | Size | Download |
|---|---|---|
| autoencoder_40features.onnx | — | Download |
| cnn_mnist_28x28.onnx | — | Download |
| decision_tree_15features_depth8.onnx | — | Download |
| decision_tree_hb.onnx | — | Download |
| decision_tree_hb_correct.onnx | — | Download |
| kmeans_20features_5clusters.onnx | — | Download |
| kmeans_distances.onnx | — | Download |
| kmeans_hb.onnx | — | Download |
| kmeans_hb_correct.onnx | — | Download |
| kmeans_label_as_float.onnx | — | Download |
Showing 10 of 38 .onnx files — see the full file list on the right.
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
No README provided by the author.
Files (39)
.gitattributes
autoencoder_40features.onnx
ONNX
cnn_mnist_28x28.onnx
ONNX
decision_tree_15features_depth8.onnx
ONNX
decision_tree_hb.onnx
ONNX
decision_tree_hb_correct.onnx
ONNX
kmeans_20features_5clusters.onnx
ONNX
kmeans_distances.onnx
ONNX
kmeans_hb.onnx
ONNX
kmeans_hb_correct.onnx
ONNX
kmeans_label_as_float.onnx
ONNX
kmeans_raw_int.onnx
ONNX
logistic_regression_20features.onnx
ONNX
logistic_regression_classifier.onnx
ONNX
logistic_regression_hb.onnx
ONNX
logistic_regression_hb_correct.onnx
ONNX
logistic_regression_hb_wrapped.onnx
ONNX
logistic_regression_opset18.onnx
ONNX
logistic_regression_pytorch.onnx
ONNX
lstm_seq10_hidden32.onnx
ONNX
mlp_30features_64_32.onnx
ONNX
mlp_hb.onnx
ONNX
mlp_hb_correct.onnx
ONNX
mlp_pytorch.onnx
ONNX
random_forest_25features_50trees.onnx
ONNX
random_forest_hb.onnx
ONNX
random_forest_hb_correct.onnx
ONNX
tier1/decision_tree_15features_depth8.onnx
ONNX
tier1/logistic_regression_20features.onnx
ONNX
tier1/mlp_30features_64_32.onnx
ONNX
tier2/cnn_mnist_28x28.onnx
ONNX
tier2/random_forest_25features_50trees.onnx
ONNX
tier2/xgboost_35features_100trees.onnx
ONNX
tier3/autoencoder_40features_10encoding.onnx
ONNX
tier3/kmeans_20features_5clusters.onnx
ONNX
tier3/lstm_seq10_hidden32.onnx
ONNX
xgboost_35features_100trees.onnx
ONNX
xgboost_hb.onnx
ONNX
xgboost_hb_correct.onnx
ONNX
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