christopher-beckham

from design_bench.disk_resource import DATA_DIR
from design_bench.disk_resource import google_drive_download
from deepchem.feat.smiles_tokenizer import SmilesTokenizer
import pandas as pd
import numpy as np
import argparse
import glob
import os
import math

christopher-beckham

absl-py==2.0.0
antlr4-python3-runtime==4.9.3
astunparse==1.6.3
black==23.12.1
cachetools==5.3.2
certifi==2023.11.17
cffi==1.16.0
charset-normalizer==3.3.2
click==8.1.7
Cython==3.0.7

christopher-beckham

f 1 37 18
f 1 2 37
f 2 42 37
f 2 3 42
f 3 32 42
f 3 50 32
f 3 4 50
f 4 49 50
f 4 5 49
f 5 6 49

christopher-beckham

test

christopher-beckham

launch_any.sh:

#!/bin/bash
#SBATCH --ntasks=1
#SBATCH -c 4
#SBATCH --gres=gpu
#SBATCH --mem=12G

# ^ Flags here only are used if sbatch is invoked

christopher-beckham

christopher-beckham

import numpy as np
import matplotlib.pyplot as plt

###########################################################
# dates.txt is created by `git log | grep Date > dates.txt`
###########################################################
hours = []
with open("dates.txt") as f:
    for line in f:
        hours.append( int(line.rstrip().split()[4].split(":")[0]) )

christopher-beckham

# Original source: https://github.com/eriklindernoren/PyTorch-GAN/blob/master/implementations/stargan/datasets.py
# Modified by Christopher Beckham

import glob
import random
import os
import numpy as np
import torch

from torch.utils.data import Dataset

christopher-beckham

import glob
import random
import os
import numpy as np
import torch

from torch.utils.data import Dataset
from PIL import Image
import torchvision.transforms as transforms

christopher-beckham

;; init.el --- Emacs configuration

;; INSTALL PACKAGES
;; --------------------------------------

(require 'package)

(add-to-list 'package-archives
       '("melpa" . "http://melpa.org/packages/") t)