taogeanton2's Stars
jgraph/drawio-desktop
Official electron build of draw.io
JuliaLang/julia
The Julia Programming Language
walter201230/Python
最良心的 Python 教程:
ShusenTang/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
czy36mengfei/tensorflow2_tutorials_chinese
tensorflow2中文教程,持续更新(当前版本:tensorflow2.0),tag: tensorflow 2.0 tutorials
MingchaoZhu/InterpretableMLBook
《可解释的机器学习--黑盒模型可解释性理解指南》,该书为《Interpretable Machine Learning》中文版
jaungiers/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
Jack-Lee-Hiter/AlgorithmsByPython
算法/数据结构/Python/剑指offer/机器学习/leetcode
billryan/algorithm-exercise
Data Structure and Algorithm notes. 数据结构与算法/leetcode/lintcode题解/
curiousily/Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
apachecn/ai-roadmap
ApacheCN AI 路线图(知识树)
RJT1990/pyflux
Open source time series library for Python
Tencent/Metis
Metis is a learnware platform in the field of AIOps.
codota/jupyter-tabnine
Autocompletion with Deep Learning on Jupyter Notebook
LiDan456/MAD-GANs
Applied generative adversarial networks (GANs) to do anomaly detection for time series data
firmai/atspy
AtsPy: Automated Time Series Models in Python (by @firmai)
LightingFx/hs300_stock_predict
该项目用于对沪深300股票的预测,包括股票下载,数据清洗,LSTM 模型的训练,测试,以及实时预测
cxq80803716/2019-CCF-BDCI-Car_sales
2019年CCF大数据与计算智能大赛乘用车细分市场销量预测冠军解决方案
Luoyonghong/Multivariate-Time-Series-Imputation-with-Generative-Adversarial-Networks
NIPS2018 paper
cydal/tsExtract
Time series feature extraction for Supervised Learning Modeling
tranducquy/tcn-fx-price-prediction
Forex Time-Series Prediction Using TCN
rogeroyer/2019-CCF-BDCI-Car-Sales-Forecast
top3-solution
jonasjuhler/REIGATO
Python implementation of the model used in the article "Unsupervised Anomaly Detection in Energy Time Series Data using Variational Recurrent Autoencoders with Attention" by Joao Pereira
dkatz23238/STAX
Automated time series analysis and forecasting
tsegaterefe/Time-Series-Averaging-Using-Multi-Tasking-Autoencoder
The provided scripts are the implmentation for the concepts presented in the paper "Time Series Averaging Using Multi-Tasking Autoencoder": To be presented at ICTAI 2020
kailingding/AutoTSF
Automated time-series forecasting with state-of-art machine learning and deep learning algorithms
taogeanton2/2019-CCF-BDCI-Car-Sales-Forecast
top3-solution
Luoyonghong/NewW2V
new word2vector
taogeanton2/analytics-zoo
Distributed Tensorflow, Keras, PyTorch and Ray on Apache Spark
taogeanton2/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。