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 efficientnet lite0 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite efficientnet lite0 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite efficientnet lite1 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite efficientnet lite1 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite efficientnet lite2 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite efficientnet lite2 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite efficientnet lite3 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite efficientnet lite3 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite efficientnet lite4 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite efficientnet lite4 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.25 128 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.25 128 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.25 160 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.25 160 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.25 192 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.25 192 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.25 224 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.25 224 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.5 128 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.5 128 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.5 160 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.5 160 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.5 192 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.5 192 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.5 224 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.5 224 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.75 128 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.75 128 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.75 160 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.75 160 quantized)

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