Name: Lei Ma
Type: User
Company: University of Gävle
Bio: He is a Ph.D. in geospatial information sciences at the University of Gävle. His interests include machine learning, agent-based modelling, and web Dev.
Location: Gävle, Sweden
Lei Ma's Projects
Implementing three algorithms : HITS, PageRank and SimRank.
Basic Machine Learning and Deep Learning
通过从高德地图爬虫获取建筑轮廓,生成geojson文件,mapbox定制自定义地图,echarts-gl生成
Implementation of the paper "NetGAN: Generating Graphs via Random Walks".
A Non-Euclidean Rendering Engine for 3D scenes.
OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.
Pedestrian simulator powered by the social force model
PedSimCity is an Agent-Based Model for pedestrian movement simulation in urban areas
Python binding of VisiLibity 1
A pure Python Quadtree implementation
从天地图或谷歌遥感影像WMTS服务中训练、预测建筑物轮廓,fork from robosat/robosat.pink
scikit-mobility: mobility analysis in Python
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Differentiable Social Force simulation with universal interaction potentials.
Social Force Model - NetLogo
Python implementation of Spectral Clustering.
Pure Python implementation of the squarify treemap layout algorithm
Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
Create Voronoi and Sunburst Treemaps from Hierarchical data
Topographic Attribute Maps
TGN: Temporal Graph Networks
TilinGNN: Learning to Tile with Self-Supervised Graph Neural Network (SIGGRAPH 2020)
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Collect tweets (tweets corpus) using Twitter API. Collection can be based on hashtags, keywords, geographical location