Liang-yc

Liang-yc

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Location:China

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Liang-yc's repositories

ssq

该项目用于预测双色球。(This project is dedicated to forecasting the result of welfare lottery named Union Lotto in China.)

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CalorieEstimation

This project is used for estimating calories.

ECUSTFD-resized-

ECUSTFD is a food image dataset for evaluating computer vision-based methods. ECUSTFD includes 2978 images.

IntegralThreshold

Adaptive Thresholding Using the Integral Image.

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lgp_mura_detector

导光板缺陷检测(a simple mura detect project)

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fn_playground

WRN 40-4 training from scratch. Best test accuracy on Fashion MNIST dataset is ~96.74%; best test accuracy on Cifar-10 dataset is ~98.03%.

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caffe

Caffe on both Linux and Windows

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center_loss_example

Using Center Loss on Fashion Mnist with Keras

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deep_learning_object_detection

A paper list of object detection using deep learning.

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fashion-mnist

A classifier on Fashion-MNIST dataset built by Tensorflow.

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fashion-mnist-1

A MNIST-like fashion product database. Benchmark :point_right:

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fashion_mnist_tpu_test

A simple TPU test on Google Colab with Fashion Mnist Dataset.

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FastMaskRCNN

Mask RCNN in TensorFlow

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GPU-Computing-SDK-4.2.9

NVIDIA GPU Computing SDK 4.2.9. Fixing some stupid compilation bugs in the make files of the projects.

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Kaggle_Plant-Seedlings-Classification_1

https://www.kaggle.com/c/plant-seedlings-classification

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pt.darts

PyTorch Implementation of DARTS: Differentiable Architecture Search

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Pytorch-Gain

An implementation of GAIN heatmap network in pytorch. Original paper: https://arxiv.org/abs/1802.10171

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README

README文件语法解读,即Github Flavored Markdown语法介绍

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tensorflow

Computation using data flow graphs for scalable machine learning

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tensorflow-mnist-cnn

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

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tensorflow-yolo

tensorflow implementation of 'YOLO : Real-Time Object Detection'(train and test)

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tensorflow_poems

中文古诗自动作诗机器人,屌炸天,基于tensorflow1.4 api,正在积极维护升级中,快star,保持更新!

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ViT-pytorch

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

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yolo_py3.5_tf1.0

Forked from others.

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