Check the preview of 2nd version of this platform being developed by the open MLCommons taskforce on automation and reproducibility as a free, open-source and technology-agnostic on-prem platform.
Found 216 components :
 Packages (3)    Soft detection (1)    Workflows (5)    Containers (7)    Solutions (126)    Automations    Papers (1)    Results (61)    Misc (12)  
[ Project overview, Reddit disccusion, Android app, Chrome add-on ]

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.5 96 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.5 96 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.75 128 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.75 128 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.75 160 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.75 160 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.75 192 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.75 192 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.75 224 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.75 224 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.75 96 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.75 96 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 1.0 128 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 1.0 128 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 1.0 160 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 1.0 160 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 1.0 192 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 1.0 192 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 1.0 224 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 1.0 224 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 1.0 96 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 1.0 96 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 1.3 224 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 1.4 224 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 1.4 224 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v3 large minimalistic_224_1.0_float)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v3 large minimalistic_224_1.0_uint8)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v3 large_224_0.75_float)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v3 large_224_1.0_float)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v3 large_224_1.0_uint8)

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