resource-constrained-ml

Here are 15 public repositories matching this topic...

microsoft / EdgeML

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

microsoft classifier machine-learning deep-learning cpp tensorflow sensor machine-learning-algorithms pytorch bonsai iot-device edge-computing edge-devices edge-machine-learning resource-constrained-ml microsoft-research emi-rnn protonn fastgrnn fastrnn

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C++

nandahkrishna / StressAffectDetection

Sponsor

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Code for Stress and Affect Detection on Resource-Constrained Devices

machine-learning real-time research deep-learning time-series stress efficient sensor-data affective-computing raspberry-pi-3 affect state-of-the-art resource-constrained-ml affect-recognition stress-detection

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Jupyter Notebook

vishaln15 / OptimizedArrhythmiaDetection

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Code for Optimized Arrhythmia Detection on Ultra-Edge Devices

machine-learning research efficient optimized bonsai resource-constrained-ml raspberry-pi-3b arrhythmia-detection atrial-fibrillation-detection

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Jupyter Notebook

Python implementation of ELM - with optimized speed on MKL-based platforms; Described in conference paper: Radu Dogaru, Ioana Dogaru, "Optimization of extreme learning machines for big data applications using Python", COMM-2018; Allows quantization of weight parameters in both layers and introduces a new and very effective hidden layer nonlinear…

extreme-learning-machine resource-constrained-ml

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Python

tanveer-hussain / Embedded-Vision-for-MVS

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Embedded Vision for MVS in IoT

video video-summarization raspberry-pi-3 video-analysis embedded-vision resource-constrained-ml video-summaries summarization-framework

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Python

srijith1996 / FSL-SAGE

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Federated Split Learning via Smashed Activation Gradient Estimation

resource-constrained-ml communication-efficient split-learning federated-learning-algorithm

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Python

bmanczak / BEP

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This repository is devoted to the development of the facial emotion recognition (FER) system as a final bachelor project at the TU/e. Realised by Blazej Manczak. Supervisors: Dr. Laura Astola (Accenture) and Dr. Vlado Menkovski (TU/e)

fer resource-constrained-ml facial-emotion-recognition affectnet raf-db

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Python

zeyneddinoz / subMFL

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subMFL: Compatible subModel Generation for Federated Learning in Device Heterogeneous Environment

model-pruning model-compression edge-computing resource-constrained-ml federated-learning distributed-learning mobile-edge-agent ondeviceai edge-intelligence decentralized-learning model-personalization statistical-heterogeneity trustworthy-ai model-generalization resource-constrained-devices heterogeneous-environment

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Jupyter Notebook

Ekhao / DataAwareNeuralArchitectureSearch

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A proof of concept implementation of a Data Aware Neural Architecture Search.

neural-networks neural-architecture-search resource-constrained-ml tinyml

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Python

Y-R-A-V-R-5 / DownScaleXR

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Architecture-level study of how early CNN downsampling choices affect bias, generalization, and CPU inference behavior under constrained settings.

reproducible-research pytorch resource-constrained-ml inductive-biases mlflow downsampling cnn-architectures architecture-analysis model-efficiency dagshub

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Jupyter Notebook

👁 edrvfl

L-A-Sandhu / edrvfl

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Ensemble Deep Random Vector Functional Link with Skip Connections (edRVFL-SC) No GPU required • 100× faster training

regression time-series-analysis resource-constrained-ml ensemble-methods edge-ai efficient-neural-networks real-time-prediction iot-machine-learning energy-efficient-ai gpu-free-machine-learning cpu-only-deep-learning fast-training-algorithms non-iterative-learning lightweight-deep-learning

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Python

wesamnabeel99 / neural-network-compression

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Image classification using compressed deep neural network ported on resource-constrained platforms.

python arduino machine-learning computer-vision neural-network cpp numpy pandas python3 artificial-intelligence image-classification matplotlib convolutional-neural-networks fully-connected-network pooling resource-constrained-ml neural-network-compression

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Python

radu-dogaru / NL-CNN-RDT-based-sound-classification-

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Models and their evaluation for paper: Radu Dogaru and Ioana Dogaru "RD-CNN: A Compact and Efficient Convolutional Neural Net for Sound Classification ", ISETC-2020

convolutional-neural-networks resource-constrained-ml sound-recognition

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Jupyter Notebook

freelansire / streaming-eval-protocol

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Streaming Evaluation Protocol (Prequential + Resource Footprint + Calibration Drift)

calibration online-learning concept-drift model-evaluation edge-computing resource-constrained-ml real-time-ml latency-measurement prequential-evaluation streaming-ml

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Python

radu-dogaru / Super_Fast_Vector_Classifier

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A Python implementation of the algorithm described in paper Radu Dogaru, Ioana Dogaru, "Optimized Super Fast Support Vector Classifiers Using Python and Acceleration of RBF Computations", (2018) ; There is no output layer learning only a relatively fast selection of support vectors in a RBF-layer optimized for speed. Faster than SVM

support-vector-machines classification-algorithm resource-constrained-ml

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Python

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