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A re-implementation of our CVPR 2019 paper "Adaptively Connected Neural Networks"
Rethinking Knowledge Graph Propagation for Zero-Shot Learning
Analytic calibration for differential privacy with Gaussian perturbations
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
:bank: 银行笔试面试经验分享及资料分享(help you pass the bank interview, and get a amazing bank offer!)
This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow
Framework for Crowd-sourced Machine Learning
:books: 技术面试必备基础知识
This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.
Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget
source code of paper kdd2017-"Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates"
Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks(KDD'18)
Source code for KDD 2019 paper "Adversarial Learning on Heterogeneous Information Networks"
my first repository
Source code for TKDE 2018 "Heterogeneous information network embedding for recommendation"
Heterogeneous Information Network Datasets
Heterogeneous Information Network Datasets for Recommendation and Network Embedding
A TensorFlow implementation of the paper: HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
HyperFace
Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity (CIKM'19)
A Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
leetcode题解,记录自己的leetcode解题之路。
Implementation of Meta-Learning with Latent Embedding Optimization
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.