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Name: 汪商炯
Type: User
Location: 浙江杭州
Name: 汪商炯
Type: User
Location: 浙江杭州
A curated list of state-of-the-art papers on deep learning for universal representations of time series.
🌍 A Collection of Awesome Large Weather Models (LWMs) | AI for Earth (AI4E) | AI for Science (AI4S)
This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis]
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Code release for ConvNeXt model
Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
PyTorch package for the discrete VAE used for DALL·E.
This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the paper.
PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
Experimental Codes for Temporal Regularized Matrix Factoriztion for High-dimensional Time Series Prediction.
Source code of NeurIPS'22 paper: FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
FITS: Frequency Interpolation Time Series Analysis Baseline
About Code release for "Flowformer: Linearizing Transformers with Conservation Flows" (ICML 2022), https://arxiv.org/pdf/2202.06258.pdf
Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"
Gluon CV Toolkit
Probabilistic time series modeling in Python
Code for the paper "Language Models are Unsupervised Multitask Learners"
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting".
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
LLM101n: Let's build a Storyteller
Keras implementation of Legendre Memory Units
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)
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.