GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
horse-3903/basket-random-aimain 1 Branch0 Tags Code Folders and filesLatest commit horse-3903 Initial commit 3eb35f1· Oct 25, 2024 History1 Commit LICENSE Initial commit Oct 25, 2024 README.md Initial commit Oct 25, 2024 Repository files navigation README MIT license basket-random-ai...
we developed another negative-binomial GLMM that applied only to 30 plots surveyed one growing season post burn. Then, we performed a backward model selection process and analyzed additional variables. The initial model set the plot as a random effect and included the following direct effects as c...
we developed another negative-binomial GLMM that applied only to 30 plots surveyed one growing season post burn. Then, we performed a backward model selection process and analyzed additional variables. The initial model set the plot as a random effect and included the following direct effects as c...
In this example the rule show that beef -> root vegetables would be incorrect 33% more often with random association. In this example the sup(root vegetable) is 0.1089 and conf(beef->root vegetable) is 0.331. 5. Are there differences among the frequent item sets in the beginning of the ...
Original file line numberDiff line numberDiff line change @@ -1,3 +1,4 @@ #!/usr/bin/env python from __future__ import division import random import argparse @@ -11,7 +12,7 @@ learning_rate = [.1, .01, .001, .0001, .00001], decay_rate=[.995, .999, .9995, .9999],...
args.multi_scale: # 如果启用多尺度 imgs = batch["img"] sz = ( random.randrange(self.args.imgsz * 0.5, self.args.imgsz * 1.5 + self.stride) // self.stride * self.stride ) # 随机选择图像大小 sf = sz / max(imgs.shape[2:]) # 计算缩放因子 if sf != 1: # 如果需要缩放 ns...
GitHub Copilot Enterprise-grade AI features Premium Support Enterprise-grade 24/7 support Pricing Search or jump to... Search code, repositories, users, issues, pull requests... Provide feedback We read every piece of feedback, and take your input very seriously. Include my email address...
(seed) np.random.seed(seed) random.seed(seed) torch.cuda.manual_seed_all(seed) def check_args(args): new_args = args if args.pretrain is not None: assert os.path.exists(args.pretrain), \ "file not found: {}".format(args.pretrain) if args.resume: checkpoint = torch.load(args....
spec/support Test: turned off jasmine random testing Sep 28, 2021 src Tests: update test Nov 2, 2021 .eslintrc Chore: setup config files for linter, etc add package.json files. Cre… Sep 13, 2021 .gitignore Chore: tidy up Sep 16, 2021 ...