| import tensorflow as tf | |
| mnist = tf.keras.datasets.mnist | |
| (x_train, y_train),(x_test, y_test) = mnist.load_data() | |
| x_train, x_test = x_train / 255.0, x_test / 255.0 | |
| model = tf.keras.models.Sequential([ | |
| tf.keras.layers.Flatten(input_shape=(28, 28)), | |
| tf.keras.layers.Dense(512, activation=tf.nn.relu), | |
| tf.keras.layers.Dropout(0.2), |
| import os | |
| import pandas as pd | |
| from cv2 import imread, resize, imwrite, IMREAD_GRAYSCALE, INTER_AREA | |
| # Extension of files needed: | |
| ext = '.jpg' | |
| label_ext = '.txt' | |
| # Directory of interest: | |
| dir_path = 'dataset' |
| docker exec -it {DOCKER_CONTAINER_ID} /root/.poetry/bin/poetry run jupyter notebook list |
| # Disable shadow | |
| set ray_shadows,off | |
| # Set occupancy as color | |
| spectrum q, blue_yellow | |
| # Set B-factor as thickness | |
| show cartoon | |
| cartoon putty | |
| unset cartoon_smooth_loops |
If you need to leave a long job, such as a program that will run for longer than 5 hrs, or a jupyter notebook you might have noticed errors such as "Broken Pipe" or about your access to AFS being expired.
rm: cannot remove '/afs/inf.ed.ac.uk/user/s20/UUN/.last_login': Permission denied
-bash: /afs/inf.ed.ac.uk/user/s20/UUN/.last_login: Permission denied
-bash: cd: /afs/inf.ed.ac.uk/user/s20/UUN: Permission denied
-bash: /afs/inf.ed.ac.uk/user/s20/UUN/.bash_profile: Permission denied
| Acta Biológica Colombiana | |
| Alces | |
| American Journal of Physical Anthropology | |
| The American Naturalist | |
| Annual Review of Physiology | |
| BioEssays | |
| Biologia | |
| The Biological Bulletin | |
| Biological Communications | |
| Biological Reviews |
| docker run --rm -d -v /opt/wandb:/vol -p 9988:8080 --name wandb-local wandb/local |
| # Written by Rokas Petrenas (https://github.com/rokaske199) | |
| from benchmark import get_cath | |
| from pathlib import Path | |
| import json | |
| PATH_TO_PDB=Path('/scratch/datasets/pdb/') | |
| cath_location = "cath-domain-description-file.txt" | |
| cath_df = get_cath.read_data(cath_location) | |
| #select only monomers | |
| new_df=get_cath.filter_with_user_list(cath_df,"/home/s1706179/project/sequence-recovery-benchmark/monomers_af2.txt") |
| 4le7A | |
| 4ozwA | |
| 3e8tA | |
| 3zh4A | |
| 1o7iA | |
| 6baqA | |
| 3q1nA | |
| 1x8qA | |
| 3klkA | |
| 5b1rA |
| 3e3vA, 5dicA, 1dvoA, 3cxbA, 3rf0A, 2ra1A, 1a41A, 3giaA, 3dadA, 2of3A, 4y5jA, 4ozwA, 1uzkA, 3klkA, 1g3pA, 2dyiA, 3zbdA, 3kyfA, 1o7iA, 1x8qA, 4i1kA, 2bhuA, 3q1nA, 1jovA, 2v3iA, 4efpA, 4le7A, 3kstA, 3o4pA, 2w18A, 1l0sA, 2j8kA, 1hxrA, 3maoA, 4a6qA, 5b1rA, 3oajA, 4m4dA, 6baqA, 3e8tA, 2v3gA, 5c12A, 3kluA, 3gohA, 3dkrA, 2imhA, 1hq0A, 1ds1A, 3zh4A, 3swgA, 5bufA, 3hvmA, 1h70A, 4fs7A, 3e4gA, 4fcgA, 4wp6A, 4ecoA, 3essA, |