Lists (23)
algs
C++_cmake
CAD
casual inference
cityflow
classification
competition
CSP
date
DL
geopandas
good_ware
LLM
met-aheuristic
ML
OR
price_code
python
RL
SQL
stock
time series
vector packing
Stars
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
An Efficient and Realistic Traffic Simulator with Embedded Machine Learning Models
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians a…
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Home to the Signal Protocol as well as other cryptographic primitives which make Signal possible.
wingsweihua / gym_cityflow
Forked from myunchul/gym_cityflowAdds CityFlow to Gym
CoLight: Learning Network-level Cooperation for Traffic Signal Control
MLJ: Libsignal: an open library for traffic signal control
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
A Python interface for the Generic Mapping Tools.
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 graphic…
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
Uplift modeling and causal inference with machine learning algorithms
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
Heuristics and results for the variable size vector bin packing problem.
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
crew scheduling experiments - column generation, mpc, set cover, etc
The project is to understand the problem faced by aviation industry while deciding optimal schedules for its operation and try to generate feasible solutions for it.
Testing the effectiveness of Simulatedimulated Annealing (SA), Standard Binary Genetic Algorithm (BGA) and Improved Binary Genetic Algorithm (Improved BGA) for solving the airline Crew Scheduling S…
Air Crew Scheduling Optimization using Genetic Algorithms & Simulated Annealing Solving the Air Crew Scheduling Problem using Standard & Improved Binary Genetic Algorithms and Simulated Annealing