Code for IoT Journal paper 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'
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Updated
Oct 24, 2022 - C
Code for IoT Journal paper 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'
PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
Implementation of (overlap) local SGD in Pytorch
Computer Vision and Image Processing algorithms implemented using OpenCV, NumPy and MatPlotLib, for UOM's EN2550 Fundamentals of Image Processing and Machine Vision Module โ
A compressed adaptive optimizer for training large-scale deep learning models using PyTorch
Lookahead optimizer ("Lookahead Optimizer: k steps forward, 1 step back") for tensorflow
๐Implementing the ADAM optimizer from the ground up with PyTorch and comparing its performance on six 3-D objective functions (each progressively more difficult to optimize) against SGD, AdaGrad, and RMSProp.
Communication-efficient decentralized SGD (Pytorch)
Implement a Neural Network trained with back propagation in Python
Simple MATLAB toolbox for deep learning network: Version 1.0.3
JAX compilation of RDDL description files, and a differentiable planner in JAX.
MetaPerceptron: A Standardized Framework For Metaheuristic-Driven Multi-layer Perceptron Optimization
Nadir: Cutting-edge PyTorch optimizers for simplicity & composability! ๐ฅ๐๐ป
ๅบไบ็ฒๅญ็พคPSO+้ๆบๆขฏๅบฆไธ้SGDไผๅๅจ็Pytorch่ฎญ็ปๆกๆถ
ND-Adam is a tailored version of Adam for training DNNs.
ๅบไบ UNSW-NB15 ็ๅ้ถๆฎต่ดๅถๆฏ่ๅๅ ฅไพตๆฃๆต็ณป็ปใไป้ถๆๅ ๆขฏๅบฆไธ้ (GD)ใSGDใAdam ็ญๅบ็กไผๅ็ฎๆณ๏ผๅนถ็ฌ็ซๅฎ็ฐ ้ป่พๅๅฝใ้ซๆฏๆด็ด ่ดๅถๆฏใๅณ็ญๆ ใๅคๅฑๆ็ฅๆบ (MLP) โโ ๆ ไปปไฝ็ฌฌไธๆนๆทฑๅบฆๅญฆไน ๆกๆถใ ็ณป็ป้็จ ไธค้ถๆฎต็บง่ๆถๆ๏ผStageโฏ1 ไบๅ็ฑปๅคๅฎๆปๅป/ๆญฃๅธธ๏ผStageโฏ2 ไนๅ็ฑป็ปๅๆปๅป็ฑปๅ๏ผๆ็ป้่ฟ ่ดๅถๆฏๅ้ชๆฆ็่ๅ ่พๅบ 10 ็ฑปๆฃๆต็ปๆใๅจ้ขๅค็ไธญๅผๅ ฅ ๆฐๅผๆธ ๆดใๅๅบฆๅๆขใ็ฑปๅซ้ๅบๅไบคไบ็นๅพๅทฅ็จ๏ผๅนถ็ปๅ ๅๅฑ้้ๆ ท ็ผ่งฃไธฅ้็ฑปๅซไธๅนณ่กกใ่ฎญ็ปๆฏๆๆฉๅไธ L2 ๆญฃๅๅใ็ซฏๅฐ็ซฏ่ฏไผฐๆถต็ ROC/PR ๆฒ็บฟใ10ร10 ๆททๆท็ฉ้ตใTopโK ็ฝฎไฟกๅบฆๅๆๅ่ฏฏๅทฎๆกไพ่ฏๆญ๏ผๆ็ป 10 ็ฑป macroโF1 ่พพ 0.44๏ผๆๆไผๅไธๆจกๅไปฃ็ ๅฎๅ จๆๅ๏ผ
๐๐ก๐ก ๐ฎ๐ป๐ฑ ๐๐ก๐ก ๐ณ๐ฟ๐ผ๐บ ๐๐ฐ๐ฟ๐ฎ๐๐ฐ๐ต | ๐ก๐ผ ๐ณ๐ฟ๐ฎ๐บ๐ฒ๐๐ผ๐ฟ๐ธ๐, ๐ท๐๐๐ ๐ฝ๐๐ฟ๐ฒ ๐ก๐๐บ๐ฝ๐
Object recognition AI using deep learning
Tensorflow-Keras callback implementing arXiv 1712.07628
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