codes-kzhan's repositories

Deep-Learning-with-PyTorch-Tutorials

深度学习与PyTorch入门实战视频教程

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Deep-Learning-with-TensorFlow-book

深度学习开源书,基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

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Demo_DFFN

The code implementation of our paper "Hyperspectral Image Classification With Deep Feature Fusion Network", TGRS, 2018.

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3DCAE-hyperspectral-classification

Unsupervised Spatial-Spectral Feature Learning by 3-Dimensional Convolutional Autoencoder for Hyperspectral Classification

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CCNet

CCNet achieves the state-of-the-art performance on Cityscapes and ADE20K.

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Co-teaching

NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

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d2l-zh

《动手学深度学习》

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DGCN

Dual Graph Convolution Networks

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Efficient-SSL

Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."

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Elastic-Boundary-Projection

PyTorch Implementation of EBP - CVPR 2019

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GHM_Detection

The implementation of “Gradient Harmonized Single-stage Detector” published on AAAI 2019.

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Hyperspectral-Image-Super-Resolution-Benchmark

A list of hyperspectral image super-solution resources collected by Junjun Jiang

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Jupiter

RISC-V Assembler and Runtime Simulator

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LAF

The code of LAF model.

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Masking

NeurIPS'18: Masking: A New Perspective of Noisy Supervision

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MEAL

Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019

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Motion-segmentation-with-unknown-correspondences

Motion segmentation with unknown correspondences

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PRML-1

Python implementations (on jupyter notebook) of algorithms described in the book "PRML"

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ProxylessNAS

ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware. https://arxiv.org/abs/1812.00332

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pytorch-template

PyTorch deep learning projects made easy.

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Statistical-Learning-Method_Code

手写实现李航《统计学习方法》书中全部算法

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Streaming_GRF

Gaussian Receptive Fields for Stream Learning

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torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

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