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Code of AvatarCap [ECCV 2022]
Deep learning with otb (mirror of https://gitlab.irstea.fr/remi.cresson/otbtf)
Gradient DropConnect Model and Experiments
Library to enable Bayesian active learning in your research or labeling work.
CapsLayer: An advanced library for capsule theory
A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
With reconstruct, capsule representation, adversarial experiments. Implementation of NIPS2017 paper "Dynamic Routing Between Capsules" in tensorflow.
Another implementation of Hinton's capsule networks in tensorflow.
Contains codes for algorithms used to delineate organs from CT images for thoracic patients in radiation treatment planning
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 including classification and object-detection etc.
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.
CVPR2022 (Oral) - Deep Rectangling for Image Stitching: A Learning Baseline
The code for DeLS-3D of CVPR 2018
Object Depth via Motion and Detection Dataset
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
An implementation of DropConnect Layer (Dense, Conv2D, and Wrapper(for all TensorFlow Layers)) in Tensorflow 2
Code for our paper "Statistical Mechanical Analysis of Neural Network Pruning." (UAI 2021)
없어서 내가 만든다 ㅡㅡ
Dropout and Dropconnect implementation on Theano
Fast Image Processing with Fully-Convolutional Networks
pytorch implementation of fcn in the wild
Exploiting ConvNet Diversity for Flooding Identification -- Flood Detection in Satellite Images [FDSI] -- [2017 Multimedia Satellite Task]
Implementation of Super Resolution CNN in Keras.
Utilities to perform Uncertainty Quantification on Keras Models
An implementation of DropConnect Layer in Keras
Code&Dataset : Learning an Adaptive Model for Extreme Low-light Raw Image Processing
Project page of the paper "Learning Multi-Scale Photo Exposure Correction" (CVPR 2021).
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.