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ML generated building footprints for Indonesia, Malaysia, and Philippines
😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some …
Implements different discrete and continuous Facility Layout Problem representations
Order Fulfillment by Multi-Agent Reinforcement Learning
[ICLR'21] Counterfactual Generative Networks
This repository contains a literature directory of papers on Earth Observation (EO), Machine Learning (ML), Causal Inference (CI), and Poverty Research.
Processing and gridding spatial data, machine-learning style
Spatial Representations for Artificial Intelligence - a Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks
Data for Environmental Intelligence: A mega list of Earth System Datasets covering earth observations, climate, water, forests, biodiversity, ecology, protected areas, natural hazards, marine and t…
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
Hackable and optimized Transformers building blocks, supporting a composable construction.
A simple but complete full-attention transformer with a set of promising experimental features from various papers
Training a stock exchange agent with Reinforcement Learning algorithms and Decision Transformer.
Realization for architechture from "Contrastive Decision Transformers" paper using Pytorch and gymnasium
Implementation of ``Actor-Critic Alignment for Offline-to-Online Reinforcement Learning''
D2C(Data-driven Control Library) is a library for data-driven control based on reinforcement learning.
A network-based python package to understand and model urban complexity
StarCraft 2 via Type Based Heirarchial Multi Agent Reinforcement Leanring
The source code for our paper: Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges. This code is developed based on…
Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing
TransSimHub is a lightweight Python library for simulating and controlling transportation systems.
Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. (Nature Computational Science)
Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind
Development of a Ride Pooling Heuristic and Simulation
The source code of paper "Decentralized Neighbouring Information Fusion for Traffic Network Signal Control" and related baselines.
A curated list of causal inference libraries, resources, and applications.