cheny124800

cheny124800

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CIRKD

[CVPR-2022] Official implementations of CIRKD: Cross-Image Relational Knowledge Distillation for Semantic Segmentation

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Learning-Debiased-Disentangled

Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"

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YOLOv5_DOTA_OBB

YOLOv5 in DOTA with CSL_label.(Oriented Object Detection)(Rotation Detection)(Rotated BBox)基于YOLOv5的旋转目标检测

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RepVGG

RepVGG: Making VGG-style ConvNets Great Again

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e2cnn

E(2)-Equivariant CNNs Library for Pytorch

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toolbox

various cv tools, such as label tools, data augmentation, label conversion, etc.

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CamVid-Segmentation-Pytorch

This is the DL repository for Semantic Segmentation using U-Net model in pytorch library.

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pytorch_img_classification_for_competition

use pytorch to do image classification

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tensorboard

TensorFlow's Visualization Toolkit

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Artificial-Intelligence

Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools

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PSENet.pytorch

A pytorch re-implementation of PSENet: Shape Robust Text Detection with Progressive Scale Expansion Network

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crnn_chinese_characters_rec

chinese characters recognition

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CycleGAN

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

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pytorch-yolo-v3

A PyTorch implementation of the YOLO v3 object detection algorithm

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BicycleGAN

Toward Multimodal Image-to-Image Translation

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PSENET_Keras

keras implementation of PSENET

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Robust-ResNet

Towards Robust ResNet: A Small Step but a Giant Leap

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PSENet-Tensorflow

TensorFlow implementation of PSENet text detector (Shape Robust Text Detection with Progressive Scale Expansion Networkt)

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PyTorch-Encoding

A CV Toolkit

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DGCNN-tensorflow

tensorflow version of DGCNN of An End-to-End Deep Learning Architecture for Graph Classification

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nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

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probabilistic_robotics

solution of exercises of the book "probabilistic robotics"

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pytorch_DGCNN

PyTorch implementation of DGCNN

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tensorflow-nvJetson

TensorFlow for NVIDIA Jetson, also include patch and script for building.

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deep-learning

personal practice(个人练习,实现了深度学习中的一些算法,包括:四种初始化方法(zero initialize, random initialize, xavier initialize, he initialize),深度神经网络,正则化,dropout, 三种梯度下降方法(BGD, SGD, mini-batch),六种优化算法(momentum、nesterov momentum、Adagrad、Adadelta、RMSprop、Adam),梯度检验、batch normalization)、RNN

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