Code Issues Pull requests deep learning for image processing including classification and object-detection etc. deep-learningpytorchclassificationsegmentationbilibiliobject-detectiontensorflow2 UpdatedJan 12, 2025 Python wkentaro/labelme Sponsor Star14.5k ...
$ python evaluate.py --config=configs/config-densenet-cnn.json --data_dir=data/sst2 INFO:__main__:[Accuracy] : 0.8638, 1573/ 1821 INFO:__main__:[Elapsed Time] : 6678ms, 3.6203296703296703ms on average * --embedding_path=./embeddings/numberbatch-en-19.08.txt (from https://github.com...
git clone https://github.com/Azure/azureml-examples.git Understand the code The code for this tutorial uses TensorFlow to train an image classification machine learning model that categorizes handwritten digits from 0-9. It does so by creating a neural network that takes the pixel values of...
此仓库是为了提升国内下载速度的镜像仓库,每日同步一次。 原始仓库:https://github.com/facebookresearch/SlowFast main 克隆/下载 git config --global user.name userName git config --global user.email userEmail 分支5 标签0 Thomas PolasekConvert directory fbcode/vision to use the...88bb4c95个月前 ...
Code availability The source code of this study can be downloaded fromhttps://github.com/aetherAI/whole-slide-cnn42andhttps://github.com/aetherAI/tensorflow-huge-model-support43under the CC BY-NC-SA 4.0 license. Whole-slide CNN Training Pipeline provides scripts to reproduce the results in thi...
Yoon Kim在GitHub上分享了自己的代码和数据集MR(Movie Review, 只有两个类,neg和pos)。 让我们动手跑跑这个程序! 1.加载数据集 python process_data.py /home/cer/Data/GoogleNews-vectors-negative300.bin output: loading data... data loaded! number of sentences: 10662 ...
python 3.7 pytorch 1.1 tqdm sklearn tensorboardX 中文数据集 我从THUCNews中抽取了20万条新闻标题,已上传至github,文本长度在20到30之间。一共10个类别,每类2万条。数据以字为单位输入模型。 类别:财经、房产、股票、教育、科技、社会、时政、体育、游戏、娱乐。
学习地址http://nbviewer.jupyter.org/github/BVLC/caffe/blob/master/examples/00-classification.ipynb 1.安装matlabplotlib: sudo apt-get install python-matplotlib 2. 安装google test, automake, google proto buffer ./autogen.sh: 43: autoreconf: not found 是因为没有安装automake 工具, 用下面的命令安装...
本次练习对应的完整代码实现(MATLAB + Python版本) → \rightarrow → Github链接。一、多类别分类 在本练习中,我们将使用Logistic回归和神经网络识别手写数字(从0到9)。如今自动手写数字识别已广泛使用,从识别邮件信封上的邮政编码到识别银行支票上的金额。本练习将展示如何将我们之前...
Each participant’s head shape, coded non-identifiably as principal component projections, head size, necessary participant metadata and Python code for the analyses are available athttps://github.com/harrymatthews50/Modelling_Craniofacial_Growth_Trajectories. ...