sean0719 Goto Github PK
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TensorFlow code and pre-trained models for BERT
Pytorch implementation of Cost-Effective Active Learning for Deep Image Classification paper
Message Passing Neural Networks for Molecule Property Prediction
"Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"
The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation
Best GitHub stars, repositories tagger and organizer. Search over projects from Github, Bitbucket, Google Code, Codeplex, Sourceforge, Fedora Project, GitLab to find real-world usage variable names
Source code and dataset for ACL 2019 paper "Cognitive Graph for Multi-Hop Reading Comprehension at Scale"
数据科学竞赛各种baseline代码、思路分享
Conditional Sequence Generative Adversarial Network trained with policy gradient, Implementation in Tensorflow
KDD CUP 2019 Baseline
Contrastive Predictive Coding for Automatic Speaker Verification
Utility tool for converting CSV to shapefile
The codes and data of paper "Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks"
My CV built using RMarkdown and the pagedown package.
My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
Implementation of Diffusion Convolutional Recurrent Neural Network
List of papers, code and experiments using deep learning for time series forecasting
Jupyter notebooks for using & learning Keras
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep learning and reasoning
My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.
DeepGTT: Learning Travel Time Distributions with Deep Generative Model
深度学习入门教程&&优秀文章&&Deep Learning Tutorial
Deep Learning for Spatio-Temporal Data
DeepWalk - Deep Learning for Graphs
Official DeiT repository
Dispersed Exponential Family Mixture VAE
Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
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.