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handfontgen

紙にプリントして文字書いてスキャンして手書きフォント自動生成

hands-on-automated-machine-learning

Hands-On Automated Machine Learning, published by Packt

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hrnet-semantic-segmentation

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

icnet-tensorflow

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

image-classification-by-keras-and-tensorflow

Image Classification using Keras as well as Tensorflow.

image-recognition

Image recognition methods from bag of words (BoW), Spatial Pyramid Matching (SPM), Sparse Codeing SPM (ScSPM) to convolutional neural networks (CNN)

image-recognition-1

Recognize images using Spatial Pyramid Matching & Earth Mover's Distance

image-run-length-encoding-and-decoding

image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

imageprocessingprojects

Image processing using python and opencv

imageregistration

A demo that implement image registration by matching SIFT descriptors and appling RANSAC and affine transformation.

imutils

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

kaggle-homecredit

kaggle-santander-value-prediction

kaggle-tf-speech-recognition

Kaggle - TensorFlow Speech Recognition Challenge

kaggle-trackml-particle-tracking-challenge

keras-fasterrcnn

keras implementation of Faster R-CNN

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-gradcam

Keras implementation of GradCAM.

keras-io

Keras documentation, hosted live at keras.io

keras-nasnet

"NASNet" models in Keras 2.0+ with weights

keras-yolo2

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

keras_frcnn

Keras Implementation of faster-rcnn

keras_transfer_cifar10

Object classification with CIFAR-10 using transfer learning

labelbox

Labelbox is the fastest way to annotate data to build and ship artificial intelligence applications.

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

ladder_network_keras

Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !

local_binary_patterns

Local Binary Patterns implementation using Python3 and OpenCV

m-ada

The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)