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Implementation of Deep Learning based Recommender Algorithms with Tensorflow.
[CVPR 2020] Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives
Discretization tools for finite volume and inverse problems.
🏫DeepLearning学习笔记以及Tensorflow使用心得笔记。Dr. Sure会不定时往项目中添加他看到的最新的技术,欢迎批评指正。
使用机器学习算法完成对12306验证码的自动识别
An implementation of the Efficient Sub-Pixel Convolutional Neural Network in TensorFlow
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
基于mtcnn/facenet/tensorflow 实现人脸识别登录系统
Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
An implementation of the fast super-resolution convolutional neural network in TensorFlow
This is a full implementation of UNet using TensorFlow low level API, high level API and Keras
Lensless imaging using Fresnel zone plate
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation, CVPR 2019
all config file for code
A unifying Matlab framework for the development of reconstruction algorithms (solving inverse problems) in computational imaging
A list of recent papers about Graph Neural Network methods applied in NLP areas.
手写数字识别问题解决
Higher Degree Total Variation (HDTV) is a regularization penalty for linear inverse problems in imaging.
an implementation of holistically nested edge detection using TensorFlow
Official pytorch implementation of paper "Image-to-image Translation via Hierarchical Style Disentanglement" (CVPR 2021 Oral).
High-speed computer-generated holography (CGH) using autoencoder-based deep neural network
Hybrid k-space/image domain, W-net, model for compressed sensing magnetic resonance reconstruction.
Project repository for deep learning coded FPM with uncertainty quantification
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
Matlab code for Noise suppression for ballistic-photons based compressive in-line holographic imaging through inhomogeneous medium
Inverse problems in building physics
Shadowsocks配置文件,蓝灯(Lantern)破解,手机版+win版
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution (CVPR 2017)
The LaTeX2e kernel
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.