Lists (2)
Stars
This repository offers a collection of recent time series research papers, including forecasting, anomaly detection and so on , with links to code and resources.
Foundation Models for Time Series
Papers for LLM and foundation models for time series analytics
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Top paper collection for stock price prediction, quantitative trading. Covering top conferences and journals like KDD, WWW, CIKM, AAAI, IJCAI, ACL, EMNLP.
😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.
[NeurIPS 2024, spotlight] Scaling Out-of-Distribution Detection for Multiple Modalities
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning adjustable weight coefficients.
Refine high-quality datasets and visual AI models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
CORAL and CORN implementations for ordinal regression with deep neural networks.
A PyTorch Library for Multi-Task Learning
Fast and memory-efficient exact attention
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…
上海财经大学刘建国教授《社交大数据》课程相关代码
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
A curated reading list of research in Mixture-of-Experts(MoE).
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oq