tinyml-papers-and-projects
Embedded ML research
A curated list of papers and projects exploring the intersection of machine learning and embedded systems, with a focus on optimizing models for resource-constrained devices.
This is a list of interesting papers and projects about TinyML.
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130 forks
last commit: 4 months ago
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computer-visionembedded-systemsmachine-learningneural-architecture-searchtinymlwake-word
crespum/edge-aiRelated projects:
| Repository | Description | Stars |
|---|---|---|
 mjrovai/unifei-iesti01-tinyml-2023.1 | A comprehensive machine learning course for embedded devices, covering the basics of TinyML and its applications | 46 |
 eugeneyan/applied-ml | Curated collection of papers and articles on data science and machine learning practices in production environments. | 27,407 |
 ml-tooling/ml-workspace | An all-in-one web-based IDE for machine learning and data science | 3,446 |
 emlearn/emlearn-micropython | An embedded machine learning library that enables efficient model deployment on microcontrollers without requiring C code | 91 |
 uw-cmg/mast-ml | An open-source toolkit designed to accelerate data-driven materials research by integrating machine learning and simulation techniques. | 107 |
 tailhq/dynaml | An interactive machine learning development environment with support for Scala, JVM, and popular ML libraries. | 201 |
 gatemezing/mmontologies | A curated collection of multimedia ontologies, providing a shared platform for researchers and developers to access and study various schema definitions. | 3 |
 zk-ml/research | Research on integrating machine learning with emergent runtimes to improve performance and security. | 22 |
 ml-gde/e2e-tflite-tutorials | Tutorials and projects on building, deploying, and using TensorFlow Lite models for mobile applications | 133 |
 dask/dask-ml | A Python library for scalable machine learning using Dask alongside popular ML libraries | 907 |
 mi2datalab/responsibleml-user2021 | Materials and resources for learning about responsible machine learning through tutorials, videos, and datasets. | 16 |
 digitalglobe/mltools | Tools for building machine learning solutions on satellite imagery | 81 |
 gorkemalgan/deep_learning_with_noisy_labels_literature | A collection of papers and repos on deep learning with noisy labels. | 235 |
 wolfe-pack/wolfe | A Scala-based project that provides a language and engine for building machine learning applications. | 135 |
 giuse/machine_learning_workbench | A comprehensive framework for practical machine learning in Ruby. | 20 |