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-python-data-analysis-and-data-operation

《python数据分析与数据化运营》读书笔记

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

autoformer

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

autox

AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.

codeshare

data_competitions

A collection of data competition materials, including Kaggle, Tianchi and KDD, etc. Items will continue to be added.

deepadots

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

exponentialsmoothing

python实现指数平滑算法

fastconv

flow-forecast

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

gluonts

Probabilistic time series modeling in Python

google-research-tft

Google Research

huawei-2018-software

华为2018软件精英挑战赛初赛代码，pure python without numpy，实现拉格朗日均值、线性回归、随机森林、指数平滑、模拟退火等算法。

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

kaggle-american-express-default-prediction-1st-solution

kaggel——美国运通--违约预测

lstm

基于LSTM神经网络的时间序列预测

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

machinelearning

【火炉炼AI】-机器学习系列文章

mobilenet

MobileNet build with Tensorflow

msrcr-restoration

Retinex Algorithms: C++ source code of SSR, MSR, MSRCR algorithm

o2o-coupon-usage-forecast

1st Place Solution for O2O Coupon Usage Forecast

paddlespatial

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

power-laws-anomalies

pyflux

Open source time series library for Python

pyod

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

pyodds

An End-to-end Outlier Detection System

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-time_series_data-prediction-with-gru-and-lstm

(pytorch)time_series_data-prediction-with-gru-and-lstm

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorchintroduction

《深入浅出 PyTorch——从模型到源码》源代码和勘误（见Issues）