Train a neural network and export weights as a string to copy into Arduino sketches
☆16Nov 15, 2017Updated 8 years ago
Alternatives and similar repositories for Arduino_weight_trainer
Users that are interested in Arduino_weight_trainer are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- API and examples for using ZeroBorg☆14Jul 1, 2016Updated 10 years ago
- General PID controller approximations for closed loop control projects☆16Jan 6, 2019Updated 7 years ago
- Open Source Open Hardware USB Power Supply Active Load testing unit☆11Sep 6, 2017Updated 9 years ago
- Serial access to the nRF24L01☆20Jun 27, 2015Updated 11 years ago
- Universal JTAG programmer for the Raspberry☆14Apr 23, 2013Updated 13 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- This code is experiments in adding functionality from the Arduino core to the Atmel SAMD10 Xplained Mini Eval Board.☆10Dec 3, 2021Updated 4 years ago
- ☆16Sep 3, 2026Updated last month
- Automatic updating system at boot via OTA for ESP32☆12Jun 29, 2021Updated 5 years ago
- Simple Library written in micropython for controlling nextion displays over serial.☆12Apr 14, 2022Updated 4 years ago
- Learning algorithms and drivers for a dynamixel based walking robot developed at Cornell.☆22Mar 5, 2015Updated 11 years ago
- Web based interface for controlling DiddyBorg from a phone or browser☆20Dec 11, 2022Updated 3 years ago
- Iterative training on pseudo-labeled data experiment on the MNIST-dataset☆11Sep 3, 2024Updated 2 years ago
- Python based INA226 Bi-Directional Current-Power Sensor Driver for RaspberryPi/OrangePi etc☆10Dec 10, 2023Updated 2 years ago
- Open Source Hardware Educational board based on Arduino Leonardo☆23Apr 12, 2020Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- 记录图像处理相关算法openv实现☆10Jun 26, 2018Updated 8 years ago