SimTech EXC 2075 Project Network 6 "Machine learning for simulation"
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501 to 510 of 867 Results
selection.py
Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]
Python Source Code - 32.2 KB - MD5: dc623c58d9263521f6f4831896736927
task_execution.py
Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]
Python Source Code - 15.4 KB - MD5: 385768bef9acf4b5405bc930cc990e4d
test_single_task.py
Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]
Python Source Code - 2.4 KB - MD5: b4893fa0014897b750b992d9807f9ae8
train.py
Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]
Python Source Code - 11.3 KB - MD5: a69a123b85169194526706ff1e028a4b
using_bmdal.ipynb
Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]
Jupyter Notebook - 302.2 KB - MD5: 0da36bda03f90507caecfa194fd5517c
utils.py
Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]
Python Source Code - 7.9 KB - MD5: b57773306e54beb8c92b46a41714ea5a
visualize_lcmd.py
Apr 5, 2023 - Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]
Python Source Code - 2.9 KB - MD5: 23e591945e30abfe03e5187ab6ae5d53
ckpt-158.index
Feb 20, 2023 - Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials
Unknown - 2.0 KB - MD5: b1f876b47401d5613c8a97a78af9d8c7
ckpt-362.data-00000-of-00001
Feb 20, 2023 - Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials
Unknown - 10.8 MB - MD5: ccbc651067c7c070c2468a1cf336e134
ckpt-362.index
Feb 20, 2023 - Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials
Unknown - 2.0 KB - MD5: 8dda85dad7b0e8eea6b2dc538d56ac5b
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