Jianpei WEN's 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.
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).
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.
d3rlpy
An offline deep reinforcement learning library
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.
DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
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.
Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
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
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
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》)
pytorch-soft-actor-critic
PyTorch implementation of soft actor critic
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
PyTorch-Tutorial-1
Build your neural network easy and fast
ReAgent
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
Renewables_Scenario_Gen_GAN
The implementation of scenario generation for renewables production process
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
tianshou
An elegant PyTorch deep reinforcement learning library.
transformer
Implementation of "Attention Is All You Need" using pytorch