ZeroOneKevin

AR_Kalman_filtering_Modeling

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arima-forecasting

Using Python StatsModel ARIMA to Forecast Time Series of Cars in Walmart Parking Lot

AutoArima-Time-Series-Blog

This is the code notebook for the blog post on using Python and Auto ARIMA

C3D-keras

train C3D with keras for action recognition

charging_pile_cloud

充电桩，共享充电桩 ，小程序

clash_for_windows_pkg

A Windows/macOS GUI based on Clash

concise-excel-vba

Excel-vba 开发使用手册

ConvLSTM-2

Convolutional LSTM for Precipitation Nowcasting

cyclical_series_predict

Datasets

Machine learning datasets used in tutorials on MachineLearningMastery.com

ZeroOneKevin/lx-music-api-server-python

适用于 LX Music 的解析接口服务器的 Python 实现

ZeroOneKevin/lx-source

lx-music-custom-source 洛雪音乐自定义解析源

ZeroOneKevin/ff14trn

ff14触发器test

ZeroOneKevin/charging_pile_cloud

充电桩，共享充电桩 ，小程序

ZeroOneKevin/clash_for_windows_pkg

A Windows/macOS GUI based on Clash

ZeroOneKevin/Kirikiroid2

ZeroOneKevin/Time-series-prediction

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

ZeroOneKevin/concise-excel-vba

Excel-vba 开发使用手册

ZeroOneKevin/gluon-ts

Probabilistic time series modeling in Python

ZeroOneKevin/stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

ZeroOneKevin/mmskeleton

A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.

ZeroOneKevin/Datasets

Machine learning datasets used in tutorials on MachineLearningMastery.com

ZeroOneKevin/Time-Series-SVR

ZeroOneKevin/GCN_Keras

图卷积神经网络 Graph Convolutional Network with Keras

ZeroOneKevin/keras-attention-mechanism

Attention mechanism Implementation for Keras.

ZeroOneKevin/nbeats_forecast

N-Beats library implementation

ZeroOneKevin/AR_Kalman_filtering_Modeling

I

ZeroOneKevin/prophet_forecasting

forecasting examples using Facebook Prophet

ZeroOneKevin/n-beats

Pytorch/Keras implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

ZeroOneKevin/KinectPython

Human - Robot Collaboration for fabric folding using Kinect2, RoboDK, Reflex 1 gripper and the ATI Force Torque Gamma sensor

ZeroOneKevin/Windspeed-Forecasting-LSTM-GRU

Time series Forecasting of Wind speed based on different deep learning methods LSTM - GRU

ZeroOneKevin/DeepLearningPractice

about deep learning projects

ZeroOneKevin/Keras-IndRNN

Implementation of IndRNN in Keras

ZeroOneKevin/PyKinect-QT

capture videos from kinect v2 with QT

ZeroOneKevin/PyKinect2-Mapper-Functions

ICoordinateMapper functions using PyKinectV2 wrapper for python

ZeroOneKevin/PyKinect2-PyQtGraph-PointClouds

Creating real-time dynamic Point Clouds using PyQtGraph, Kinect 2 and the python library PyKinect2.

ZeroOneKevin/deepar

Tensorflow implementation of Amazon DeepAR

ZeroOneKevin/keras-centernet

A Keras implementation of CenterNet with pre-trained model (unofficial)

ZeroOneKevin/rainnet

RainNet: a convolutional neural network for radar-based precipitation nowcasting

ZeroOneKevin/ST-GCN

Unofficial Tensorflow implementation of the AAAI'18 paper "Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition"