Alternatives and similar repositories for awesome-edge-machine-learning

Users that are interested in awesome-edge-machine-learning are comparing it to the libraries listed below

• csarron / awesome-emdl
  Embedded and mobile deep learning research resources
  ☆754Updated 2 years ago
• kavyakvk / TinyFederatedLearning
  A scheme for privacy-preserving learning on Tiny Devices.
  ☆47Updated 3 years ago
• bharathgs / Awesome-Distributed-Deep-Learning
  A curated list of awesome Distributed Deep Learning resources.
  ☆427Updated last year
• ChanChiChoi / awesome-model-compression
  papers about model compression
  ☆166Updated 2 years ago
• larq / zoo
  Reference implementations of popular Binarized Neural Networks
  ☆108Updated last month
• mlcommons / tiny
  MLPerf™ Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers
  ☆422Updated last week
• 1duo / awesome-ai-infrastructures
  Infrastructures™ for Machine Learning Training/Inference in Production.
  ☆420Updated 6 years ago
• Mxbonn / visualwakewords
  Python library to work with the Visual Wake Words Dataset.
  ☆37Updated 4 years ago
• google / qkeras
  QKeras: a quantization deep learning library for Tensorflow Keras
  ☆568Updated last month
• eliberis / uNAS
  μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.
  ☆81Updated 4 years ago
• eliberis / tflite-tools
  TFLite model analyzer & memory optimizer
  ☆129Updated last year
• zhenhuaw-me / tflite
  Parse TFLite models (*.tflite) EASILY with Python. Check the API at https://zhenhuaw.me/tflite/docs/
  ☆102Updated 6 months ago
• larq / compute-engine
  Highly optimized inference engine for Binarized Neural Networks
  ☆251Updated this week
• cedrickchee / awesome-ml-model-compression
  Awesome machine learning model compression research papers, quantization, tools, and learning material.
  ☆527Updated 10 months ago
• ai-techsystems / deepC
  vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers
  ☆597Updated 2 weeks ago
• larq / larq
  An Open-Source Library for Training Binarized Neural Networks
  ☆719Updated 11 months ago
• paperswithcode / torchbench
  Easily benchmark machine learning models in PyTorch
  ☆148Updated last year
• Xilinx / graffitist
  Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
  ☆168Updated 5 years ago
• mit-han-lab / tinyml
  ☆940Updated last year
• shashigharti / federated-learning-on-raspberry-pi
  This project implements the OpenMined tutorials and simulates the distributed model training process using 2 RPIs(Raspberry Pi).
  ☆117Updated 5 years ago
• ysh329 / embedded-ai.bi-weekly
  WeChat: NeuralTalk，Weekly report and awesome list of embedded-ai.
  ☆379Updated 3 years ago
• Arm-Examples / ML-zoo
  ☆238Updated 2 years ago
• microsoft / nn-Meter
  A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
  ☆357Updated last year
• Harvard-CS249R-Fall2020 / assignments
  ☆26Updated 4 years ago
• areusch / microtvm-blogpost-eval
  ☆29Updated 4 years ago
• pytorchfi / pytorchfi
  A runtime fault injection tool for PyTorch
  ☆117Updated last year
• mcanini / SysML-reading-list
  Systems for ML/AI & ML/AI for Systems paper reading list: A curated reading list of computer science research for work at the intersectio…
  ☆278Updated 2 months ago
• Dynmi / AlexNet
  implement AlexNet with C / convolutional nerual network / machine learning / computer vision
  ☆191Updated 3 years ago
• LGE-ARC-AdvancedAI / auptimizer
  An automatic ML model optimization tool.
  ☆199Updated 2 years ago
• Hahn-Schickard / AutoFlow
  Bring your AI to the Edge - Starting from building the ML model to the selection of the target platform to the optimization and implement…
  ☆52Updated 2 years ago