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PyTorch implementation for COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction (CVPR 2021)
PyTorch implementation for Dual Contrastive Prediction for Incomplete Multi-view Representation Learning (TPAMI'22)
Lightweight Remote Sensing Change Detection with Progressive Aggregation and Supervised Attention (IEEE TGRS 2023)
A symbolic time series representation building Brownian bridges
An agent-based model (ABM) that can simulate the dynamics of influencer advertizing campaigns in a variety of scenarios and can help to discover the best influencer marketing strategy
Adaptive Cut Selection in Mixed-Integer Linear Programming
Non-Negative Matrix and Tensor Factorizations
Performance analysis of predictive (alpha) stock factors
[CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
Anomaly detection related books, papers, videos, and toolboxes
PyTorch autoencoder implementation of asset pricing model using monthly returns/metrics
ASTRIDE: Adaptive Symbolization for Time Series Databases
This is a tensorflow-keras implementation of our paper "Attention Based Dynamic Graph Learning Framework for Asset Pricing"
Building an ML model to identify ROIs on marketing campaigns and their impacts on sales and customer conversions.
Automated Resume Screening System using Machine Learning (With Dataset)
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
A collection of incomplete multi-view clustering paper
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
A curated reading list of research in Mixture-of-Experts(MoE).
A curated list for awesome partial graph machine learning resources.
A curated list of awesome papers related to pre-trained models for information retrieval (a.k.a., pretraining for IR).
Recommender System Papers
A comprehensive survey on the time series domains
This is publicly available code for MDLUR paper for ACM-KDD 2023 (https://openreview.net/forum?id=2qkiWEb6vc)
BERT models for Japanese text.
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.