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To help users get started, we provide a Jupyter notebook at./notebooks/inference_playground.ipynbthat allows one to visualize the performance of GP-UNIT. The notebook will download the necessary pretrained models and run inference on the images in./data/. ...
# this is for running the notebook in our testing framework # Find optimal model hyperparameters model.train() likelihood.train() # Use the adam optimizer optimizer = torch.optim.Adam(model.parameters(), lr=0.1) # Includes GaussianLikelihood parameters # "Loss" for GPs - the marginal log l...
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Bigger GPNotebookInputOutputLogsComments (5)Logs check_circle Successfully ran in 135.1s Accelerator None Environment Latest Container Image Output 0 B Something went wrong loading notebook logs. If the issue persists, it's likely a problem on our side.Refresh...
Now let’s walk through the code to implement these changes in WGAN with TensorFlow 2 / Keras. While following the tutorial below, please refer to the WGAN Colab notebookherefor the complete code. Setup First, we make sure to set the runtime of the Colab hardware accelerator as GPU. Then...
新版Notebook- BML CodeLab上线,fork后可修改项目版本进行体验 导入包 In [32] import paddle.fluid as fluid import paddle import numpy as np import matplotlib.pyplot as plt import cv2 import random from visualdl import LogWriter 生成器网络结构 In [33] # 3*96*96 def Generator(x, name='G'):...
使用多线程方式打开jupyter-notebook :return: """ jupyter_path = os.path.dirname(sys.executable) + r"\Scripts\jupyter-notebook.exe" self.th = ThreadJupyter(jupyter_path) self.th.finishSignal.connect(self.jupyter_log) self.th.start() def jupyter_log(self, msg): self.slot_flush...
新版Notebook- BML CodeLab上线,fork后可修改项目版本进行体验 In [1] # 这里是爬取视觉中国里喀纳斯的图片,因为视觉中国里的图片比较纯净 from urllib import request import os import re # 正则表达式库 # 输入类别名称,子类别名称,文件名,输出图片路径 def get_path(classname, filename): # 获取当前工作路...