jianpei-w Goto Github PK

ai-for-time-series-papers-tutorials-surveys

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

awesome-offline-rl

An index of algorithms for offline reinforcement learning (offline-rl)

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

bayesian-soft-actor-critic--bsac

Adopting reasonable strategies is challenging but crucial for an intelligent agent with limited resources working in hazardous, unstructured, and dynamic environments to improve the system utility, decrease the overall cost, and increase mission success probability. Deep Reinforcement Learning (DRL) helps organize agents' behaviors and actions based on their state and represents complex strategies (composition of actions). This research introduces a novel hierarchical strategy decomposition approach based on Bayesian chaining to separate an intricate policy into several simple sub-policies and organize their relationships as Bayesian strategy networks (BSN).

bendersoptim

Benders decomposition to solve mixed integer linear programming, especially stochastic programming in seconds!

bsac

Bayesian Soft Actor Critic

cql

PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

d3rlpy

An offline deep reinforcement learning library

da-rnn

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

daisyrec

A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks

darts

A python library for easy manipulation and forecasting of time series.

data-competition-topsolution

Data competition Top Solution 数据竞赛top解决方案开源整理

deepctr-torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deeprl-tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

easy-rl

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

expresslanes_deep-rl

informer2020

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

introduction-to-time-series-forecasting-python

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

introrl

Intro to Reinforcement Learning (强化学习纲要）

kaggle

Kaggle 项目实战（教程） = 文档 + 代码 + 视频（欢迎参与）

lihang-code

《统计学习方法》的代码实现

ltsf-linear

This is the official implementation for AAAI-23 Oral paper "Are Transformers Effective for Time Series Forecasting?"

m5-methods

Data, Benchmarks, and methods submitted to the M5 forecasting competition

n-beats

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

offlinerl

A collection of offline reinforcement learning algorithms. This is a mirror repo from https://agit.ai/Polixir/OfflineRL

offlinerlworkflow