picovic
TinyMaix
| picovic | TinyMaix | |
|---|---|---|
| 3 | 10 | |
| 13 | 829 | |
| - | 1.7% | |
| 2.4 | 4.2 | |
| 7 months ago | about 1 month ago | |
| C | C | |
| MIT License | Apache License 2.0 |
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picovic
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Show HN: PicoVGA Library – VGA/TV Display on Raspberry Pi Pico
This looks great.
I have been hoping to make a Pico into a little 8-bit-micro style computer, but there’s lots to learn first!
I bought Pimoroni’s VGA demo board[0], which provides a readymade version of the VGA implementation “Hardware Design with RP2040.”
There are a few emulators that I think should work with that:
- PICOVIC: https://github.com/jfoucher/picovic
- Show HN: A Commodore Vic-20 Emulator on the Raspberry Pi Pico
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pico with arduino c++ pS2Keyboard library?
I saw your post while trying to implement ps/2 handling on my Pico VIC-20 emulator ( https://github.com/jfoucher/picovic ) and I managed to get it working just today. The relevant code is here : https://github.com/jfoucher/picovic/tree/feature/c-emulator/ps2 and also some of it in main.c
TinyMaix
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[D] Run Pytorch model inference on Microcontroller
TinyMaix. Very minimalistic, can also be used on RISC-V
- Show HN: PicoVGA Library – VGA/TV Display on Raspberry Pi Pico
- [Discussion] Best practices for taking deep learning models to bare metal MCUs
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Meet Sipeed’s TinyMaix: An Open-Source Lightweight Machine Learning Library For Microcontrollers
Sipeed TinyMaix is an open-source machine learning library designed for microcontrollers. According to findings, it is lightweight enough to be compatible with Microchip ATmega328 MCU found in the Arduino UNO board and its many clones.
- TinyMaix: Enable Deeplearning for embedded device with 1KB SRAM
- TinyMaix: Ultra Lightweight TinyML Infer Lib (using tflite quant strategy)
- TinyMaix: Ultra Lightweight TinyML Infer Lib optimized for RISC-V P/V extend~
- TinyMaix: Enable Deeplearning for IoT device with 1KB SRAM
What are some alternatives?
pico-zxspectrum - ZX Spectrum for Raspberry Pico Pi RP2040
ai8x-synthesis - Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices
RAD-Doom - RAD-Doom (Doom on C64/C128 using the RAD Expansion Unit)
nnom - A higher-level Neural Network library for microcontrollers.
xemu - Emulations (running on Linux/Unix/Windows/macOS, utilizing SDL2) of some - mainly - 8 bit machines, including the Commodore LCD, Commodore 65, and the MEGA65 as well.
tinyengine - [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory
picovga-cmake - VGA/TV display on Raspberry Pico (Linux/cmake)
pico-sdk
mbot-vision - Let your Makeblock robot see using an ESP32, camera and PyTorch
b-em - An RP2040 and Raspberry Pi 2/3/4/Zero 2 W version of an opensource BBC Micro emulator originally for Win32 and Linux
MaximAI_Documentation - START HERE: Documentation for ADI's MAX78000 and MAX78002 Edge AI devices