optimizer
Operationalize.ML.NET
optimizer | Operationalize.ML.NET | |
---|---|---|
2 | 1 | |
596 | 1 | |
2.3% | - | |
6.1 | 5.8 | |
2 months ago | 9 months ago | |
C++ | C# | |
Apache License 2.0 | - |
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optimizer
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Operationalize TensorFlow Models With ML.NET
If you happen to start with an ONNX model that you still want to optimize, then you can use the official ONNX optimizer tool https://github.com/onnx/optimizer.
- replika-research/how_we_moved_from_openai.pdf at master ยท lukalabs/replika-research
Operationalize.ML.NET
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Operationalize TensorFlow Models With ML.NET
You can find the whole source code at https://github.com/mariusmuntean/Operationalize.ML.NET
What are some alternatives?
replika-research - Replika.ai Research Papers, Posters, Slides & Datasets
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netron - Visualizer for neural network, deep learning and machine learning models
deepo - Setup and customize deep learning environment in seconds.
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YOLOX - YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/