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exploring-AI-optimization reviews and mentions
- Collection of material on optimizing deep learning models
- Collection of material on optimization techniques for neural networks
- Collection of resources on quantization
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[P] Open source that takes as input a deep learning model and outputs a version that runs faster in inference. Now faster and easier to use (New release)
[1] Quantization. Techniques and Concept Map. [2] Pruning. Techniques and Concept Map. [3] ONNX Runtime [4] Nvidia TensorRT [5] Intel OpenVINO [6] Apache TVM
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Accelerating AI models online discussion
https://github.com/nebuly-ai/learning-AI-optimization/blob/main/Pruning.md here you have open source collection of material on the topic :)
- What is pruning a neural network? A guide on github. Feedback is welcome!
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[P] Concept maps and research material on artificial intelligence optimization techniques (pruning and quantization). A guide on GitHub
Quantization github maps
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A note from our sponsor - WorkOS
workos.com | 29 Apr 2024
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nebuly-ai/exploring-AI-optimization is an open source project licensed under MIT License which is an OSI approved license.
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