CSHUTingting's Stars
ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
google-research/arxiv-latex-cleaner
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
benedekrozemberczki/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
zhoushengisnoob/DeepClustering
Methods and Implements of Deep Clustering
boyu-ai/Hands-on-RL
https://hrl.boyuai.com/
jundongl/scikit-feature
open-source feature selection repository in python
Yimeng-Zhang/feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
MatthewJA/Inverse-Reinforcement-Learning
Implementations of selected inverse reinforcement learning algorithms.
OSGeo/grass
GRASS GIS - free and open-source geospatial processing engine
reinforcement-learning-kr/lets-do-irl
Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)
yrlu/irl-imitation
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
amir32002/3D_Street_View
The repo of Street View Image, Pose, and 3D Cities Dataset. Used in "Generic 3D Representation via Pose Estimation and Matching", ECCV16
mrahtz/learning-from-human-preferences
Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"
wannesm/LeuvenMapMatching
Leuven.MapMatching toolbox for aligning GPS measurements to locations on a map.
qzed/irl-maxent
Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
tsinghua-fib-lab/DRL-urban-planning
A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. (Nature Computational Science)
csmile-1006/PreferenceTransformer
Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)
simonscheider/mapmatching
An arcpy based HMM map matching tool
qbxlvnf11/graph-neural-networks-for-graph-classification
Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification
CenterForCollectiveLearning/Place-Pulse
Place Pulse code repository
Dylan2020THU/dqn_cartpole
Agent warriors, assemble!
categulario/map_matching
Algorithms to find the streets that a vehicle should have traveled to generate a given GPS track
denadai2/google_street_view_deep_neural
Deep Neural Network model to predict security perception from Google Street View images. Model based on AlexNet CNNs
liangchunyaobing/RCM-AIRL
public code and data
TroddenSpade/Maximum-Entropy-Deep-IRL
Implementations of Maximum Entropy Algorithms for solving Inverse Reinforcement Learning problems.
rsangers/explainable_perception
uidilr/bayesian_irl
Bayesian Inverse Reinforcement Learning with simple environments
cjsyzwsh/ASU-DNN
WVik/DeepRL-for-Graphs
dominicdanis/-Multi-Agent-Reinforcement-Learning-with-Prospect-Theory
A Python grid based implementation of Multi-Agent Reinforcement Learning with Prospect Theory