valeman's Projects
Code Repository for The Kaggle Book, Published by Packt Publishing
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.
Temporal HIErarchical Forecasting
ThirdEye is an integrated tool for realtime monitoring of time series and interactive root-cause analysis.
Forecasting with Gradient Boosted Time Series Decomposition
Accompanying repository to ICANN 2019 publication: Timage -- A Robust Time Series Classification Pipeline timage
Scientific time series and deep learning state of the art
This repository contain the projects related with -- time series data
Repository for thesis resources,
Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN
Time series classification and clustering code written in Python.
Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.
Recurrent Neural Network Implementations for Time Series Forecasting
Time Series Forecasting with Temporal Fusion Transformer in Pytorch
time series forecasting using keras, inlcuding LSTM,RNN,MLP,GRU,SVR and multi-lag training and forecasting method, ICONIP2017 paper.
The code to accompany “Time-series-forecasting-using-CNTK” tutorial on <a href="https://gallery.cortanaintelligence.com">Cortana Intelligence Gallery </a>.
Machine learning models for time series analysis
List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章,主要包含基于机器学习的算法
A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter
The implementation of the paper: Put Attention to Temporal Saliency Patterns of Multi-Horizon Time Series
A data preprocessing package for time series data. Design for machine learning and deep learning.
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, etc.)
Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
Simple pure function representations of popular time series packages.
Time should be taken seer-iously