This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
microsoft
machine-learning
deep-learning
cpp
pytorch
tensorflow
machine-learning-algorithms
edge-computing
iot-device
protonn
resource-constrained-ml
sensor
bonsai
classifier
edge-devices
edge-machine-learning
emi-rnn
fastgrnn
fastrnn
microsoft-research
Обновлено 2023-07-07 00:42:22 +03:00
This project created to analyze, compare and identify whale tails from the Kaggle competition dataset, "Humpback Whale Identification Challenge". It is written in Python, and uses the Keras API with Tensorflow backend. The project implemented both a Siamese Network and a SoftMax classifier with center loss.
Обновлено 2023-06-12 22:29:42 +03:00
Performance Robustness Evaluation for Statistical Classifiers
Обновлено 2023-01-26 02:24:27 +03:00
Simple image classifier that introduces machine learning with Codespaces
Обновлено 2022-10-01 02:15:20 +03:00
Cookiecutter template for testing Python scikit-learn classifiers.
Обновлено 2022-08-22 23:42:49 +03:00
Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs
machine-learning
deep-learning
computer-vision
neural-networks
image-classification
azure-computer-vision
clarifai
google-cloud-vision
provable-defense
adversarial-defense
adversarial-examples
adversarial-robustness
aws-rekognition
Обновлено 2021-04-03 00:37:13 +03:00
A repo for the Lobe ML Trash Classifier project
Обновлено 2020-12-11 20:02:21 +03:00
Custom Image Classification Tutorial: Building domain-specific image classifiers using Deep Learning and Transfer Learning with Microsoft ML Server
Обновлено 2017-12-12 01:23:28 +03:00
Обновлено 2015-03-18 21:12:25 +03:00