illegalargumentexception-oss Goto Github PK

autoformer

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

baiducup_wind_power_dididada

KDD Cup 2022 spatial dynamic wind power forecast challenge solution.

baiducup_wind_power_forecast

wind_power_forecast

baidukddcup_baseline

PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle.

chandlerzuo.github.io

dual stage attention

cnn_encoder_decoder

Natural Language Processing Tutorial for Deep Learning Researchers

educdm

The Model Zoo of Cognitive Diagnosis Models, including classic Item Response Ranking (IRT), Multidimensional Item Response Ranking (MIRT), Deterministic Input, Noisy "And" model(DINA), and advanced Fuzzy Cognitive Diagnosis Framework (FuzzyCDF), Neural Cognitive Diagnosis Model (NCDM) and Item Response Ranking framework (IRR).

fftransformer

Multi-Step Spatio-Temporal Forecasting:

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

kaggle-web-traffic

1st place solution

kdd-cup-2022-qdu

Solution in Baidu KDD Cup 2022

kdd2022-windteam-csu123

kdd_cup_2022-datateam-ucm

kddcup-123123

KDD 2022

kddcup-yura

KDDCUP2022 Spatial Dynamic Wind Power Forecasting Paddle Track Sixth Place Solution

kddcup2022-88vip

kddcup2022-aistudio2338769team

Codes for kddcup2022

kddcup2022-buaa_bigscity

[KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022

kddcup2022-noritoshiteam

KDDCUP2022 WPF Competition

kddcup2022-sliencegteam

kddcup2022-wpf-teletraan

3rd place solution of KDD Cup 2022-Spatial Dynamic Wind Power Forecasting

lake

风能发电数据

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

lstm

LSTM Neural Network in Python and Cython, used for language modelling

lstm-electric-load-forecast

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network

lstm-forecasting

How to use PyTorch LSTMs for time series regression

lstm-load-forecasting

Implementation of Electric Load Forecasting Based on LSTM(BiLSTM). Including Univariate-SingleStep forecasting, Multivariate-SingleStep forecasting and Multivariate-MultiStep forecasting.

lsuv.pytorch

Implementation of LSUV (Layer-sequential unit-variance) in PyTorch

nonlincausality

Python package for Granger causality test with nonlinear forecasting methods.

nonstationary_transformers

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