weidafeng

weidafeng

Geek Repo

Location:Shang hai, China

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weidafeng's repositories

TableCell

Image-based table cell detection: a new dataset and an improved detection method.

python-matplotlib-practices

《Python数据可视化之matplotlib实践》配套代码。

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CCPD2COCO

Convert CCPD to COCO format, including bounding box, segmentation mask, segmentation map.

Efficient-SlowFast

Efficient dual attention SlowFast networks for video action recognition

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NLU2019

NLU2019 project: Question NLI. The task is to determine whether the context sentence contains the answer to the question (entailment or not entailment).

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weidafeng.github.io

online homepage.

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Data-Structure-and-Algorithm

Data Structure and Algorithm. 数据结构与算法,学习笔记。

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DeepLearningCodes

开源了代码的良心论文

LeetCode_Python

LeetCode with python from 1 to ∞

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AdversarialNetsPapers

The classical paper list with code about generative adversarial nets

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awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

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data_mining

SJTU-DATA-MINING-HOMEWORK

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DCNv2

Deformable Convolutional Networks v2 with Pytorch

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deep-compression

Compress neural network with pruning and quantization using TensorFlow.

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desktop_image_compression

desktop_image_compression

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douban_movie_crawler

爬取豆瓣电影:世界名著改编电影、top250榜单

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Keras-GAN

Keras implementations of Generative Adversarial Networks.

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learn_git_github

My demo project to learn git and github

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ML

master degree

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model-tools

Tools for computing model parameters and FLOPs.

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models

Models and examples built with TensorFlow

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ocr_test_on_kjdz

ocr_test_on_kjdz

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pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

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Python

All Algorithms implemented in Python

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python-pyecharts-practices

学习pyecharts可视化库的笔记

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pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

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SlowFast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

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SuperResolution-with-Perceptual-loss

In this project I have used an convolution neural network with perceptual loss to convert low res image into high res image.

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