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kyrie20666's Projects

a-framework-for-remote-sensing-images-processing-using-deep-learning-technique

Deep learning with otb (mirror of https://gitlab.irstea.fr/remi.cresson/otbtf)

adjusting-the-drop-probability-in-dropconnect-based-on-the-magnitude-of-the-gradient

Gradient DropConnect Model and Experiments

baal

Library to enable Bayesian active learning in your research or labeling work.

capslayer

CapsLayer: An advanced library for capsule theory

capsnet-tensorflow1

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

capsnet-tensorflow2

With reconstruct, capsule representation, adversarial experiments. Implementation of NIPS2017 paper "Dynamic Routing Between Capsules" in tensorflow.

capsules-tensorflow3

Another implementation of Hinton's capsule networks in tensorflow.

ct_semantic_segmentation

Contains codes for algorithms used to delineate organs from CT images for thoracic patients in radiation treatment planning

cvpr2022-papers-with-code-demo

收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-retinex-decomposition-for-low-light-enhancement

A Tensorflow implementation of RetinexNet

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deeprectangling

CVPR2022 (Oral) - Deep Rectangling for Image Stitching: A Learning Baseline

dels-3d

The code for DeLS-3D of CVPR 2018

depth-perception

Object Depth via Motion and Detection Dataset

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dropconnect-tensorflow

An implementation of DropConnect Layer (Dense, Conv2D, and Wrapper(for all TensorFlow Layers)) in Tensorflow 2

dropconnect_dpp

Code for our paper "Statistical Mechanical Analysis of Neural Network Pruning." (UAI 2021)

dropconnectionconv2d

없어서 내가 만든다 ㅡㅡ

dropout_dropconnect

Dropout and Dropconnect implementation on Theano

fastimageprocessing

Fast Image Processing with Fully-Convolutional Networks

fcn-in-the-wild

pytorch implementation of fcn in the wild

fdsi

Exploiting ConvNet Diversity for Flooding Identification -- Flood Detection in Satellite Images [FDSI] -- [2017 Multimedia Satellite Task]

image-super-resolution-using-deep-convolutional-networks

Implementation of Super Resolution CNN in Keras.

keras-uncertainty

Utilities to perform Uncertainty Quantification on Keras Models

kerasdropconnect

An implementation of DropConnect Layer in Keras

learning-an-adaptive-model-for-extreme-low-light-raw-image-processing

Code&Dataset : Learning an Adaptive Model for Extreme Low-light Raw Image Processing

learning-multi-scale-photo-exposure-correction

Project page of the paper "Learning Multi-Scale Photo Exposure Correction" (CVPR 2021).

mask_rcnn

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

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