- FIRST POST MUST READ!!: http://forum.m5stack.com/topic/1226/m5stickv-link-info-dump
- Useful Scripts: https://github.com/sipeed/MaixPy_scripts
- Maixpy Docs: https://maixpy.sipeed.com/en/
- NNCase repo: https://github.com/kendryte/nncase/blob/master/README.md
- Quick Start: https://github.com/m5stack/m5-docs/blob/master/docs/en/quick_start/m5stickv/m5stickv_quick_start.md#Download
- Create your own firmware: https://raspberrypi.mongonta.com/howto-build-firmware-of-m5stickv/
- Build the last firmware: https://ai.rs/geek-projects/m5stickv-how-to-flash-micropython-maix-series-k210/
- What is a Kfpg package?: http://blog.sipeed.com/p/390.html
- aXeleRate https://github.com/AIWintermuteAI/aXeleRate
- Video aXeleRate https://www.youtube.com/watch?v=8lp_45duWmM
- Maixpy Repo Toolbox (ckpt -> pb <-> tflite -> kmodel): https://github.com/sipeed/Maix_Toolbox
- Maixpy Workspace (Example MNIST): https://github.com/sipeed/Maix-TF-workspace
- Blog Sipeed Examples: http://blog.sipeed.com/p/category/maix-software/maixpy
- MNIST Example: http://blog.sipeed.com/p/673.html
- Tiny Yolo 20 classes: http://blog.sipeed.com/p/677.html
- Face tracking robot: http://blog.sipeed.com/p/233.html#more-233
- HAR project: https://bbs.sipeed.com/t/topic/863
- HAR project 2: https://github.com/anoken/CheeringWatch_M5StickC-V
- MobileNet, Train, Convert, Run Maixduino: https://bbs.sipeed.com/t/topic/682
- MobileNet your own data: https://www.instructables.com/id/Transfer-Learning-With-Sipeed-MaiX-and-Arduino-IDE/
- COLAB MNIST Keras --> TFLITE --> KMODEL: https://github.com/ashitani/jupyter_examples/blob/master/mnist_keras_maixpy_colab.ipynb
- COLAB Transfer learning (Ref1Ref2) : https://colab.research.google.com/drive/1mirG8BSoB3k87mh-qyY3-8-ZXj0XB6h6#scrollTo=86Y5ihRDB5v9
- Yolo + Joker Face image: https://github.com/staberas/Joker-Masks-M5StickV
- Brownie project, larger project [very useful]: https://github.com/ksasao/brownie
- Maix LogoClassifier https://github.com/andriyadi/Maix-LogoClassifier
- MobileNet_v2 to TFLite https://colab.research.google.com/drive/1fDWZfce2BJnU49xyrvwXYpX3EW3UK6QH#scrollTo=o5JPT0yOkiK6
- Cresco Blog Japanese https://www.cresco.co.jp/blog/entry/10093/
- Creating an Image Classification Model for M5StickV by Transfer Learning https://colab.research.google.com/drive/1mirG8BSoB3k87mh-qyY3-8-ZXj0XB6h6#scrollTo=DCfsTMT9wqQa&line=3&uniqifier=1
- Transfer Learning Image Recognition With K210 Boards and Arduino IDE/Micropython https://www.instructables.com/id/Transfer-Learning-With-Sipeed-MaiX-and-Arduino-IDE/
- Maixpy GO Mobilenet Transfer learning for Image Classfication COLABS! https://iotdiary.blogspot.com/2019/07/maixpy-go-mobilenet-transfer-learning.html
- Racoon MaixPY YOLOv2 https://courses.cs.washington.edu/courses/cse475/19au/labs/yolo2_tutorial.html
- CSE/EE475: Embedded Capstone: Edge computing for IoT https://courses.cs.washington.edu/courses/cse475/19au/
- Object Detector Tutorial: Run Yolo2 on Sipeed Maix Bit https://courses.cs.washington.edu/courses/cse475/19au/labs/yolo2_tutorial.html
- Course Transfer Learning and H5 --> TENSORFLOWLITE https://github.com/tensorflow/examples/tree/master/courses/udacity_intro_to_tensorflow_lite
- MAixPy: Object detector - MobileNet and YOLOv2 on Sipeed MAix Dock https://lemariva.com/blog/rss/maixpy-object-detector-mobilenet-and-yolov2-sipeed-maix-dock
- SALVADOR ALBARRÁN TIRADAS (Spanish) https://eprints.ucm.es/61621/1/ALBARRAN_TIRADAS_Aceleracion_de_AI_en_dispositivos_de_bajo_consumo_4398577_1316782495.pdf https://github.com/SalvadorAlbarran/TFG2020
- LUCIO GIORDANO https://eprints.ucm.es/62112/1/LUCIO_GIORDANO_AIoTA_Kendryte_K210_Proof_of_Concept_4286351_1924719630.pdf
- UART communication Example M5StickV--Arduino: https://qiita.com/nnn112358/items/5efd926fea20cd6c2c43
- Ksasao Examples: https://gist.github.com/ksasao
- M5StickV with Servos: https://www.thingiverse.com/thing:3851179 Tutorial
- USB holder and support: https://www.thingiverse.com/thing:3773369
- MAIX DOCK CASE AND STAND https://www.thingiverse.com/thing:3708687