AAApoint

AAApoint's Stars

• Snailclimb/JavaGuide

  「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

  Language:Java148k4.5k1.1k45.7k

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python57.6k4601325.9k

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.6k7561.3k8k

• unit8co/darts

  A python library for user-friendly forecasting and anomaly detection on time series.

  Language:Python8.2k641.6k896

• SharingSource/LogicStack-LeetCode

  公众号「宫水三叶的刷题日记」刷穿 LeetCode 系列文章源码

  7.4k7722953

• cure-lab/LTSF-Linear

  [AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

  Language:Python2.1k18113457

• xinychen/transdim

  Machine learning for transportation data imputation and prediction.

  Language:Jupyter Notebook1.2k3729305

• MikeCreken/lanlanInterview

  此仓库将包含各大银行的基本介绍，笔试面试特点，发现这个宝库就离上岸不远了，哼

  Language:HTML1.1k60114

• erdengk/excellent-wheel

  收集轮子类项目

  1k8468

• thuml/Anomaly-Transformer

  About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

  Language:Python7851072208

• lsdefine/attention-is-all-you-need-keras

  A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need

  Language:Python7122635187

• MAZiqing/FEDformer

  Language:Python661788126

• cure-lab/SCINet

  The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)

  Language:Python6391170129

• DaoSword/Time-Series-Forecasting-and-Deep-Learning

  Resources about time series forecasting and deep learning.

  600283056

• microsoft/StemGNN

  Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

  Language:Python524823115

• thuml/Nonstationary_Transformers

  Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415

  Language:Python485104085

• salesforce/DeepTime

  PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)

  Language:Python35291264

• salesforce/ETSformer

  PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

  Language:Python26791042

• IvanBongiorni/GAN-RNN_Timeseries-imputation

  Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

  Language:Jupyter Notebook1704727

• BorealisAI/scaleformer

  Language:Python1257613

• RadiantResearch/TSAT

  Transformer based model for time series prediction

  Language:Python1231221

• Zero-coder/FECAM

  About Code release for "FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting" ⌚

  Language:Jupyter Notebook12252318

• tianzhou2011/FiLM

  Language:Python96186

• sctpan/WaterQualityPredictSystem

  水质预测系统，利用机器学习进行水质预测

  Language:JavaScript744417

• XinweiJiang/VMD

  variational mode decomposition and its variants

  Language:MATLAB52108

• sctpan/WQMFS

  Water Quality Management and Forecasting System(水质管理与预测系统)

  Language:Vue33119

• shivaniarbat/wgan-gp-transformer

  Implementation of our paper "Wasserstein Adversarial Transformer for Cloud Workload Prediction"

  Language:Python31335

• ZimoLiao/rvmd

  Reduced-order Variational Mode Decomposition (RVMD)

  Language:MATLAB24103

• SamuelXJames/Signal-Denoising-Autoencoder

  A Deep Denoising Autoencoder for Time Dependent Signals

  Language:Jupyter Notebook21218

• sophie091524/Noise-Reduction-in-ECG-Signals

  Language:Python21129