| adap/flower |
3,545 |
|
0 |
6 |
about 2 years ago |
28 |
November 28, 2023 |
374 |
apache-2.0 |
Python |
| Flower: A Friendly Federated Learning Framework |
| Seeed-Studio/ModelAssistant |
268 |
|
0 |
0 |
about 2 years ago |
0 |
|
4 |
mit |
Python |
| Seeed SenseCraft Model Assistant is an open-source project focused on embedded AI. 🔥🔥🔥 |
| Qengineering/PyTorch-Raspberry-Pi-64-OS |
86 |
|
0 |
0 |
over 2 years ago |
0 |
|
4 |
|
|
| PyTorch installation wheels for Raspberry Pi 64 OS |
| PINTO0309/Keras-OneClassAnomalyDetection |
79 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
mit |
Jupyter Notebook |
| [5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite. |
| shashigharti/federated-learning-on-raspberry-pi |
39 |
|
0 |
0 |
about 6 years ago |
0 |
|
30 |
|
Jupyter Notebook |
| This project implements the OpenMined tutorials and simulates the distributed model training process using 2 RPIs(Raspberry Pi). |
| ljk53/pytorch-rpi |
20 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
|
Shell |
| Share PyTorch binaries built for Raspberry Pi |
| marcusvlc/pytorch-on-rpi |
19 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
|
Shell |
| This repository aims to assist those who want to run neural network models in a raspberry pi environment using the Pytorch framework. Learn more about performing object detection on raspberry pi in our post here: https://bit.ly/2LZZsJz |
| Kokensha/book-ml |
17 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| 書籍「今すぐ試したい！機械学習・深層学習（ディープラーニング）画像認識プログラミングレシピ」のソースコードを配布するレポジトリです。 |
| Minki-Kim95/Federated-Learning-and-Split-Learning-with-raspberry-pi |
17 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things |
| savageyusuff/MobilePose-Pi |
14 |
|
0 |
0 |
about 5 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| MobilePose deployment for Raspberry Pi |
