Pinned Repositories
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。
Time-series-analysis-using-Python
Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data.
jianpei-w's Repositories
jianpei-w/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.
jianpei-w/awesome-offline-rl
An index of algorithms for offline reinforcement learning (offline-rl)
jianpei-w/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
jianpei-w/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).
jianpei-w/bsac
Bayesian Soft Actor Critic
jianpei-w/CQL
PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.
jianpei-w/d3rlpy
An offline deep reinforcement learning library
jianpei-w/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
jianpei-w/darts
A python library for easy manipulation and forecasting of time series.
jianpei-w/DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
jianpei-w/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/
jianpei-w/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
jianpei-w/ExpressLanes_Deep-RL
jianpei-w/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
jianpei-w/LTSF-Linear
This is the official implementation for AAAI-23 Oral paper "Are Transformers Effective for Time Series Forecasting?"
jianpei-w/M5-methods
Data, Benchmarks, and methods submitted to the M5 forecasting competition
jianpei-w/N-BEATS
jianpei-w/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
jianpei-w/OfflineRL
A collection of offline reinforcement learning algorithms. This is a mirror repo from https://agit.ai/Polixir/OfflineRL
jianpei-w/OfflineRlWorkflow
jianpei-w/pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
jianpei-w/pytorch-soft-actor-critic
PyTorch implementation of soft actor critic
jianpei-w/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
jianpei-w/PyTorch-Tutorial-1
Build your neural network easy and fast
jianpei-w/ReAgent
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
jianpei-w/Renewables_Scenario_Gen_GAN
The implementation of scenario generation for renewables production process
jianpei-w/RL-Paper-notes
jianpei-w/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
jianpei-w/tianshou
An elegant PyTorch deep reinforcement learning library.
jianpei-w/transformer
Implementation of "Attention Is All You Need" using pytorch