2017wxyzwxyz Goto Github PK

graph_convolutional_lstm

Traffic Graph Convolutional Recurrent Neural Network

hctsa

Highly comparative time-series analysis code repository

hierarchical-attention-based-recurrent-highway-networks-for-time-series-prediction

Pytorch implementation of Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction https://arxiv.org/abs/1806.00685

icml2020

Notebook for comprehensive analysis of authors, organizations, and countries of ICML 2020 papers.

ijcnn19attacks

Adversarial Attacks on Deep Neural Networks for Time Series Classification

ilearndeeplearning.py

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

imv_lstm

Pytorch implementation of "Exploring Interpretable LSTM Neural Networks over Multi-Variable Data" https://arxiv.org/pdf/1905.12034.pdf

informer2020

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

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

joyful-pandas

Pandas中文教程

kaggle-web-traffic

1st place solution

keras-attention

Visualizing RNNs using the attention mechanism

keras-attention-mechanism

the extension of https://github.com/philipperemy/keras-attention-mechanism , create a new scipt to add attetion to input dimensions rather than timesteps in the origin project。

keras-attention-mechanism-1

Attention mechanism Implementation for Keras.

keras-tcn

Keras Temporal Convolutional Network.

koopa

Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305.18803

libsvm

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

lihang-code

《统计学习方法》的代码实现

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

liquid_time_constant_networks

Code Repository for Liquid Time-Constant Networks (LTCs)

lstm

基于LSTM神经网络的时间序列预测

lstm-for-price-prediction

算法根据单个板块或单只股票的历史数据判断板块指数或个股次日收盘价信息，得到相应的调仓对策。可回归（预测具体价格）可分类（预测涨跌）。 长短期记忆模型(LSTM)是循环神经网络(RNN)的一种，每个输入样本都是一个序列（如某板块20天的四价一量）用这个序列预测结果。它认为某些指标长期的趋势对预测值有影响，有些无影响，让神经元控制短期记忆和长期记忆，克服了实践中时间越长影响参数越小的问题。

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

lstm_encoder_decoder

Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data

lstm_rnn_tutorials_with_demo

LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow

lstnet

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

machine-learning-mindmap

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

machinelearningnotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft