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awesome-ai-for-time-series-papers

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

basictimeseries

basicts

An Open Source Standard Time Series Forecasting Benchmark.

carl

Github Repo for CARL: Cautious Adaptation for RL in Safety Critical Settings

citylearn

citylearn-2020-pikapika

CityLearn Challenge Multi-Agent Reinforcement Learning for Intelligent Energy Management, 2020, PikaPika team

citylearn_garage

CityLearnをgarageで使えるようにするための改造

d2stgnn

Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deeplearningbasics

深度学习数学、模型结构和基础应用

drl-energy-management

Deep reinforcement learning based energy management strategy for hybrid electric vehicle

feasible-actor-critic

Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.

gnn-powerflow

Graph Neural Network application in predicting AC Power Flow calculation. Developed with Pytorch Geometric framework.

gnnpapers

Must-read papers on graph neural networks (GNN)

gnnpaperspowernets

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.

learn-nlp-with-transformers

we want to create a repo to illustrate usage of transformers in chinese

mbrl-hvac

Model-based Reinforcement Learning for Building HVAC Control

mbrl-lib

Library for Model Based RL

mtgnn

multipolar

Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics

naive-rl

Naive implementations of CSE525 HWs

open-sustainable-technology

Listing of worldwide open technology projects preserving a stable climate, energy supply and vital natural resources. https://opensustain.tech/

pendulumdemo

Model-Based RL Demo for Pendulum-v0

ptf_code

Source code for paper: Efficient deep reinforcement learning via adaptive policy transfer

pytorch-gat

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

pytorch_geometric

Graph Neural Network Library for PyTorch

recent-safe-rl-papers-with-code

This repo lists most recent paper with their code in safe RL, some of papers without available code is not included. Welcome to edit this list if more papers found.

recovery-rl

Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.