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41 to 50 of 265 Results
Jose et al. MLST 2025 - Code, Data and Models
Nov 20, 2025 - Jose et al. MLST 2025 Soot detection
Jose, Basil; Geigle, Klaus Peter; Hampp, Fabian, 2025, "Jose et al. MLST 2025 - Code, Data and Models", https://doi.org/10.18419/DARUS-5512, DaRUS, V1
This dataset hosts the code, data and models needed for replication of the work mentioned in Jose et al. MLST 2025. In the paper, an ablation study is conducted to delineate the effects of domain randomisation parameters of synthetically generated training data on the segmentation accuracy. The best model is used to extract high-level statistics fr...
BatchPredictor.py
Nov 20, 2025 - Jose et al. MLST 2025 - Code, Data and Models
Python Source Code - 1.8 KB - MD5: 76c02db2150bfda97dfc2180a95f32f4
config_batch_soot_generation.py
Nov 20, 2025 - Jose et al. MLST 2025 - Code, Data and Models
Python Source Code - 6.9 KB - MD5: 7cca8a943f342b63b89af99e9527ab85
config_create_validation_data.py
Nov 20, 2025 - Jose et al. MLST 2025 - Code, Data and Models
Python Source Code - 2.0 KB - MD5: 589abe93e1bfdea540da0b219d6a823d
config_generate_train_scripts.py
Nov 20, 2025 - Jose et al. MLST 2025 - Code, Data and Models
Python Source Code - 4.1 KB - MD5: 678f6caaeeba7a71ed2d969daa85a905
config_slurm_dgen.batch
Nov 20, 2025 - Jose et al. MLST 2025 - Code, Data and Models
Unknown - 445 B - MD5: 360ba27556bab9ee9d34d127c78b40ed
config_slurm_mtrain.batch
Nov 20, 2025 - Jose et al. MLST 2025 - Code, Data and Models
Unknown - 489 B - MD5: dc681d2ceb017bcead237d7899b3e5df
config_soot_inference.py
Nov 20, 2025 - Jose et al. MLST 2025 - Code, Data and Models
Python Source Code - 3.6 KB - MD5: 1ce85834a9c7d5c05b71f6219f3fe081
generate_train_scripts.py
Nov 20, 2025 - Jose et al. MLST 2025 - Code, Data and Models
Python Source Code - 3.9 KB - MD5: f157798df083849639a78851b82cb52f
generative_model_inference.ipynb
Nov 20, 2025 - Jose et al. MLST 2025 - Code, Data and Models
Jupyter Notebook - 8.8 KB - MD5: 15ee4023241d084a4eff878c4e885db4
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