Kasra9494
PhD student in System Design Engineering at the University of Waterloo
University of Waterloo
Kasra9494's Stars
ClimateChangeEcon/Climate_in_Climate_Economics
hazem2410/PyDICE
Shivamshaiv/Python-DICE
Python 3.6 implementation of Dynamic Integrated Climate-Economy (DICE)
olugovoy/climatedice
causaltext/causal-text-papers
Curated research at the intersection of causal inference and natural language processing.
iiasa/Felix-Model
FeliX (Functional Enviro-economic Linkages Integrated neXus) is a system dynamics model of global social, economic, and environmental Earth systems.
kleok/FLOODPY
Flood Python Toolbox
icrlp/gcam-cdr
GCAM-CDR 1.0 is an integrated assessment model, based on JGCRI's GCAM 5.4, for studying carbon dioxide removal (CDR) in climate policy. Created by the Institute for Carbon Removal Law and Policy at American University.
JGCRI/gcam-core
GCAM -- The Global Change Analysis Model
ToVinhKhang/Social-Network-Analysis
SNA using pure Python
Project-Platypus/J3
A free desktop application for producing and sharing high-dimensional, interactive scientific visualizations.
Project-Platypus/PRIM
Patient Rule Induction Method (PRIM) for Python
Project-Platypus/Platypus
A Free and Open Source Python Library for Multiobjective Optimization
quaquel/Rhodium
Python Library for Robust Decision Making and Exploratory Modelling
quaquel/ptreeopt
Policy tree optimization: Heuristic policy search for control of dynamic systems. Uses genetic programming to develop binary trees relating observed indicator variables to actions, either real-valued or discrete.
quaquel/epa141A_open
quaquel/pyNetLogo
quaquel/EMAworkbench
workbench for performing exploratory modeling and analysis
DynamicsAndNeuralSystems/pyspi
Comparative analysis of pairwise interactions in multivariate time series.
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
alexandrahotti/Solutions-to-A-Students-Guide-to-Bayesian-Statistics-by-Ben-Lambert
My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.
abmgis/abmgis
Accompanying resources for the book 'Agent-Based Modelling and Geographical Information Systems: A Practical Primer'.
SpaceGroupUCL/depthmapX
depthmapX is a multi-platform Spatial Network Analysis Software
jofmi/agentpy
AgentPy is an open-source framework for the development and analysis of agent-based models in Python.
je-suis-tm/graph-theory
Julia and Python complex system applications in ecology, epidemiology, sociology, economics & finance; network science models including Bianconi-Barabási, Barabási-Albert, Watts-Strogatz, Waxman Model & Erdős-Rényi; graph theory algorithms involving Gillespie, Bron Kerbosch, Ramsey, Bellman Ford, A*, Kruskal, Borůvka, Prim, Dijkstra, DSatur, Randomized Distributed, Vizing, Topological Sort, DFS, BFS
JuliaDynamics/Agents.jl
Agent-based modeling framework in Julia
noncomputable/AgentMaps
Make social simulations on real maps! Agent-based modeling for the web.
NetLogo/NetLogo
turtles, patches, and links for kids, teachers, and scientists
projectmesa/mesa
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.