Skip to content
View ThomasAFink's full-sized avatar
🎯
Focusing
🎯
Focusing

Organizations

@it-at-m @TrafficGCN

Block or report ThomasAFink

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. TrafficGCN/ST-GCN TrafficGCN/ST-GCN Public

    Repository for advanced traffic forecasting models integrating GCN, LSTM/Bi-LSTM, and attention mechanisms for improved accuracy, including weather data processing.

    Python 9 1

  2. TrafficGCN/osmnx_adjacency_matrix_for_graph_convolutional_networks TrafficGCN/osmnx_adjacency_matrix_for_graph_convolutional_networks Public

    Creating an Adjacency Matrix Using the Dijkstra Algorithm for Graph Convolutional Networks GCNs

    Jupyter Notebook 18 2

  3. TrafficGCN/haversine_mapping_for_spatial_integration_in_graph_convolutional_networks TrafficGCN/haversine_mapping_for_spatial_integration_in_graph_convolutional_networks Public

    Calculating the nearest weather sensor for each traffic sensor and then merging the weather sensors' temporal data with the traffic sensors'.

    Python 3 1

  4. TrafficGCN/optimal_path_dijkstra_for_data_science TrafficGCN/optimal_path_dijkstra_for_data_science Public

    Plotting the Optimal Route in Python for Data Scientists using the Dijkstra Algorithm

    Python 11 1

  5. effectively_querying_chatGPT_via_the_OpenAI_API effectively_querying_chatGPT_via_the_OpenAI_API Public

    A Python script that uses GPT-3 to generate keywords, descriptions, and locations for a list of companies.

    Python 4

  6. TrafficGCN/40_cities_osmnx_adjacency_matrices_for_graph_convolutional_networks TrafficGCN/40_cities_osmnx_adjacency_matrices_for_graph_convolutional_networks Public

    Dijkstra adjacency distance matrices were calculated for 40 cities from traffic sensor locations provide by UTD19 https://utd19.ethz.ch/.

    Python 5