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100-plus-python-programming-exercises-extended

100+ python programming exercise problem discussed ,explained and solved in different ways

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

2dconv_pub

Predicting time series with a 2D convolution network

42-workshop

Workshop material for 42 PyCharm Tips and Tricks

a-dual-stage-attention-based-recurrent-neural-network-for-time-series-prediction

acycle

Acycle: Time-series analysis software for research and education

agcrn

Adaptive Graph Convolutional Recurrent Network

ai_tutorial

精选机器学习，NLP，图像识别， 深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理。算法大牛笔记汇总

air-quality-forecasting--outlier-detection-in-multivariate-time-series-data

LSTM model for multivariate time series forecasting using the Keras deep learning library.

air_pollution_forcast_beijing

基于Keras的LSTM多变量时间序列预测

analytics-zoo

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

anomaly-detection-in-time-series-using-keras

This project focused on creating a detection anomaly model in Time Series data using Keras to help detect anomalies in the S&P 500 Price for investment opportunities.

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

astgcn

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019

astgcn-r-pytorch

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

attention-pytorch

注意力机制实践

autoformer

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

autogluon

AutoGluon: AutoML Toolkit for Deep Learning

autokeras

AutoML library for deep learning

awesome-latex-drawing

Drawing Bayesian networks, graphical models, and technical frameworks in LaTeX.

awesome-pytorch-list-cnversion

Awesome-pytorch-list 翻译工作进行中......

awesome_time_series_in_python

This curated list contains python packages for time series analysis

base-on-relation-method-extract-news-da-rnn-model-for-stock-prediction--pytorch

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

bayesianlstm

Bayesian LSTM Implementation in PyTorch

bigdata18

Transfer learning for time series classification

bosun

Time Series Alerting Framework

capstone_time_series_solar_radiation_forecast

Wrangling data from the National Solar Radiation Database to forecast hourly solar irradiance for a given metro area, modeled using XGBoost Random Forest, Keras LSTM Neural Network. The results lead to tool to help customers more accurately predict yearly, monthly, and hourly energy production.

cnn-bilstm-attention-time-series-prediction_keras

CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras

cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

In PyTorch Learing Neural Networks Likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"