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20210817class_python_colab

a_reference_of_a_reference

Training a machine learning model based on ml5 style transfer model in order to teach how Van Gogk painted Whitfield with Crows and applying it to Akira's Kurowasa film Dreams shot that references the painting itself.

aiaurora.github.io

anime_filter

selfie filter that adjusts a photo in the browser with posenet and style transfer with ml5

apilist

API 網站列表

arduino

artest2

baby-echo-line-bot

Line Bot api測試

basic-mask-detector-ml5js

Project for trying ml5js machine learning library

block-shuffle

A method for high-resolution Fast Style Transfer with limited memory

blockly-app

A blockly application that can build AI to play games.

bmi

c-cpp_gitpod_ex1

cartoon_server

chatgpt-translator

使用ChatGPT API的翻譯文字插件

chatgpt-translator-1

clarifai-python-grpc

Clarifai gRPC Python client

clarifai-scratch

ScratchX extension for Clarifai visual recognition service.

cnn_imagedatagenerator

ImageDataGenerator是一個非常好用的工具，尤其在樣本數量很少的時候，可以利用它來微調圖片內容，進而產生新的樣本 本次主題會用CNN作為影像辨識基礎，比較加入ImageDataGenerator前後的辨識效果

colab-style-transfer-training-test

To be used with the Colab Notebook described in the Readme, this repo allows you to test the results of your style transfer model training by rendering the webcam in real-time in the style of your model-trained image using ML5 and Tensorflow.js

colab_opencv_display

如何在Colab中執行OpenCV並顯示影像及視頻，解決imshow, videocapture無法作用問題。

cpython

The Python programming language

cyclegan-tensorflow

Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf

disco-diffusion-local

dogai

Dog breed image recognition with Teachable Machine & Tensorflow.js

emotion-recognition-with-ml5

Facial Emotion Recognition with ML5: A computer vision project that runs in the browser using ml5.js and TensorFlow.js

estea8968

Config files for my GitHub profile.

everyone_is_van_gogh

A implementation of Artistic Style with TensorFlow

example-line-bot

examples

Enjoy our curated collection of examples and solutions. Use these patterns to build your own robust and scalable applications.