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-bdci-2018-

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

-ts2vec-towards-universal-representation-of-time-series

A universal time series representation learning framework

2014machinelearning-coursera-assignment

This repo is mainly about learning materials for 2014 coursera machine learning.

2018-graduate-mathematical-modeling-contest-e

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。

autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

awesome-gnn4ts

Awesome resources related to GNNs for Time Series Analysis (GNN4TS) 🔥 https://arxiv.org/abs/2307.03759

awesome-normalizing-flows

Awesome resources on normalizing flows.

chatgpt-on-wechat2

chatgpt-on-wechat_1

chatgpt4-on-wechat

chronos-forecasting

Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

conditional-normalizing-flow-for-wind-power-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

Contrastive Learning for Time Series

convtransformertimeseries

Convolutional Transformer for time series

cost

PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)

crossformer

Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

crow

Code Repository for "Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples with Applications to Neuroimaging", ICCV 2019

daguan-cup-text-intelligent-processing-challenge

建立模型通过长文本数据正文(article)，预测文本对应的类别(class)

datafountain_fund-correlation-forecast_top10

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。

deep-generative-modeling

Hi, This is a repository about Deep Generative Modeling(More attention to probabilistic time series forecasting with Normalizing Flows)

deeplearning

this repo is mainly about leetcode subject

deepmimo-python

DeepMIMO python dataset codes for mmWave and massive MIMO

diabetesarithmetic_version3.0

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

diviner-nonstationary-time-series-forecasting

The formal Implement of our work@Nature portfolio journal Communications Engineering

etdataset-informer

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

fedformer

flow-

Compression with Flows via Local Bits-Back Coding

flow-improving-flow-based-generative-models-with-variational-dequantization-and-architecture-design

Code for reproducing Flow ++ experiments

freia

Framework for Easily Invertible Architectures

glow-pytorch

pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"