Zijun Deng (zijundeng)

zijundeng

Geek Repo

Company:South China University of Technology

Location:Guangzhou, China

Home Page:https://zijundeng.github.io

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Zijun Deng's repositories

DAF

Code for the MICCAI 2018 paper "Deep Attentional Features for Prostate Segmentation in Ultrasound"

SRGAN

PyTorch implementation of the paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

kaggle-planet

Code for the Kaggle competition "Planet: Understanding the Amazon from Space"

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pytorch-generative-model-collections

Collection of generative models in Pytorch version.

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Amazon_Forest_Computer_Vision

Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

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baiduyun_deeplearning_competition

百度云魅族深度学习应用大赛

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cs231n

My solution for cs231n homework

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DeepNLP-models-Pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

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DeepRecommender

Deep learning for recommender systems

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Detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

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EDSR-PyTorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

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EffectiveTensorflow

TensorFlow tutorials and best practices.

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Interview-Notebook

:books: 技术面试需要掌握的基础知识整理

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leetcode

LeetCode题解,151道题完整版

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Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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MLAlgorithms

Minimal and clean examples of machine learning algorithms

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mx-maskrcnn

A MXNet implementation of Mask R-CNN

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pic-demo

A spring boot demo for downloading, saving and returning image.

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pytorch-cn

Document for Pytorch project

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PyTorch-Encoding

PyTorch Deep Texture Encoding Network

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pytorch-SRResNet

pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802

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reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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SemanticSegmentation_DL

Resources of semantic segmantation based on Deep Learning model

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SRGAN-1

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network / Please Star -->

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xlearn

High Performance, Easy-to-use, and Scalable Machine Learning Package

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