awesome-emdl
github.com/csarron/awesome-emdl ↗Embedded and mobile deep learning research resources
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me approximation resources from awesome-emdl"
Installation instructions →What's inside
Papers
- Accelerating Very Deep Convolutional Networks for Classification and DetectionApproximation
- A First Look at Deep Learning Apps on SmartphonesCharacterization
- AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory AcceleratorSystem
- An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things DevicesSystem
- A review on TinyML: State-of-the-art and prospectsSurvey
- A Survey of Model Compression and Acceleration for Deep Neural NetworksSurvey
Tutorials
- Adreno OpenCL Programming GuideOpenCL
- ARM® Mali™ GPU OpenCL Developer GuideOpenCL
- Better OpenCL Performance on Qualcomm Adreno GPUOpenCL
- Compute for Mobile Devices Performance focusedOpenCL
- Deep Learning – Tutorial and Recent TrendsGeneral
- Efficient Convolutional Neural Network Inference on Mobile GPUsGeneral
Libraries
- Alibaba - MNNInference Framework
is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba.
- Apple - CoreMLInference Framework
is integrate machine learning models into your app.
- Arm - Arm NNInference Framework
is the most performant machine learning (ML) inference engine for Android and Linux, accelerating ML on Arm Cortex-A CPUs and Arm Mali GPUs.
- Arm - ComputeLibraryInference Framework
is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
- Baidu - Paddle LiteInference Framework
is multi-platform high performance deep learning inference engine.
- DeepLearningKitInference Framework
is Open Source Deep Learning Framework for Apple's iOS, OS X and tvOS.
General
- A TinyMLaaS Ecosystem for Machine Learning in IoT: Overview and Research ChallengesEdge / Tiny MLOps
- Caffe2 AICamera
- DeepMonOpenCL
- Edge MLOps: An Automation Framework for AIoT ApplicationsEdge / Tiny MLOps
- MLOps for TinyML: Challenges & Directions in Operationalizing TinyML at ScaleEdge / Tiny MLOps
- Mobile_ConvNet: RenderScript CNN for AndroidRenderScript
Related Repos
Showing a sample of 144 resources. View the full list on GitHub →