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awesome-mobile-ML
https://github.com/windmaple/awesome-mobile-ML
Last synced: 3 days ago
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Tools and projects
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Research
- AI Benchmark: Running Deep Neural Networks on Android Smartphones
- AMC: AutoML for Model Compression and Acceleration on Mobile Devices
- CondenseNet: An Efficient DenseNet using Learned Group Convolutions
- ProjectionNet: Learning Efficient On-Device Deep Networks Using Neural Projections
- MnasNet: Platform-Aware Neural Architecture Search for Mobile
- ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
- ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
- MobileNetV2: Inverted Residuals and Linear Bottlenecks
- MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
- Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
- Learning both Weights and Connections for Efficient Neural Networks
- Improving the speed of neural networks on CPUs
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