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Name: AifuHan
Type: User
Company: sun yat-sen university
Bio: PhD candidate
Location: Shenzhen
Name: AifuHan
Type: User
Company: sun yat-sen university
Bio: PhD candidate
Location: Shenzhen
面向电信行业存量用户的智能套餐个性化匹配模型(BDCI 2018) 源码
A universal time series representation learning framework
This repo is mainly about learning materials for 2014 coursera machine learning.
这个仓库主要是前段时间参加2018研究生数学建模大赛的经验与心得,只是第一位和第二问,第三问做的太烂,所以只放我们团队第一问的方案和源码,在此抛砖引玉,欢迎大家批评指正。
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
Awesome resources related to GNNs for Time Series Analysis (GNN4TS) 🔥 https://arxiv.org/abs/2307.03759
Awesome resources on normalizing flows.
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
Code for paper "Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach" https://arxiv.org/abs/2206.02433
Contrastive Learning for Time Series
Convolutional Transformer for time series
PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
Code Repository for "Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples with Applications to Neuroimaging", ICCV 2019
建立模型通过长文本数据正文(article),预测文本对应的类别(class)
参赛者需要根据给出的基金净值、基金业绩比较基准、对应指数行情、基金间相关性等数据,构建模型、算法进行训练。然后针对大赛提供的测试样本,通过算法或模型预测出之后一段时间内基金间的相关性情况。
Hi, This is a repository about Deep Generative Modeling(More attention to probabilistic time series forecasting with Normalizing Flows)
this repo is mainly about leetcode subject
DeepMIMO python dataset codes for mmWave and massive MIMO
This resource includes the use of a variety of machine learning methods (KNN, DecisionTree, random forest, logistic regression, support vector machine , etc.) to predict diabetes
The formal Implement of our work@Nature portfolio journal Communications Engineering
The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.
Compression with Flows via Local Bits-Back Coding
Code for reproducing Flow ++ experiments
Framework for Easily Invertible Architectures
pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"
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.