Best Practices for Machine Learning with HPC

The GWDG offers data scientists various services and training courses to support them in their work throughout their entire workflow. As the success of a machine learning project often depends on the available computing resources, the working group „Computing“ operates various HPC systems with suitable accelerators to train deep learning models. This article explains model … Weiterlesen

Best Practices for Machine Learning with HPC

The GWDG offers data scientists various services and training courses to support them in their work throughout their entire workflow. As the success of a machine learning project often depends on the available computing resources, the working group „Computing“ operates various HPC systems with suitable accelerators to train deep learning models. This article explains model … Weiterlesen

SynForest – Synthetic Generation of LiDAR Data in Forests

As part of the BMBF founded project FORESTCARE we have developed SynForest, an application that generates high-quality point cloud datasets of synthetic forests. For this purpose, we aimed to produce realistic patterns by combining forest growth simulation tools such as ForestFactory2 with tree shape modeling based on real data from existing databases such as PyTreeDB3. … Weiterlesen

SynForest – Synthetic Generation of LiDAR Data in Forests

As part of the BMBF founded project FORESTCARE we have developed SynForest, an application that generates high-quality point cloud datasets of synthetic forests. For this purpose, we aimed to produce realistic patterns by combining forest growth simulation tools such as ForestFactory2 with tree shape modeling based on real data from existing databases such as PyTreeDB3. … Weiterlesen