Stars
Uplift modeling and causal inference with machine learning algorithms
Control Traffic lights intelligently with Reinforcement Learning!
multi-agent deep reinforcement learning for large-scale traffic signal control.
Reinforcement Learning + traffic microsimulation (via SUMO). Uses Ray RLLIB and forces SUMO into the OpenAI Gym Framework
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
VISSIM Reinforcement Learning for Urban Traffic Control. DQN, DDQN, D3QN, A2C, PER.
The source code of paper "Decentralized Neighbouring Information Fusion for Traffic Network Signal Control" and related baselines.
IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control
using vehicle's trajectory data to analysis the driver's driving behaviors, then to predict the car accident rate
Adaptive large neighbourhood search (and more!) in Python.
Library for generating human mouse movement with python
backtrader教程，包括数据、框架、策略及评估
BackTrader中文教程笔记（by：量化投资与机器学习），系统性介绍Bactrader的特性、策略构建、数据结构、回测交易等，彻底掌握量化神器的使用方法。章节：介绍篇、数据篇、指标篇、交易篇、策略篇、可视化篇……（持续更新中）
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
A use-case focused tutorial for time series forecasting with python
This repo includes introduction, code and dataset of our paper Deep Sequence Learning with Auxiliary Information for Traffic Prediction (KDD 2018).
Copy LaTeX Equations as Word Equations, a Chrome Extension
A missing value imputation library based on machine learning. It's implementation missForest, simple edition of MICE(R pacakge), knn, EM, etc....
Generative Adversarial Imputation Networks (GAIN) Pytorch version
PyTorch implementation of "MIDA: Multiple Imputation using Denoising Autoencoders"
Demonstration code for missing data imputation using Variational Autoencoders (VAE)
Code supporting the paper "Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Prediction"