Step 1. Clone the TensorFlow examples source code Clone the TensorFlow examples GitHub repository to your computer to get the demo application. git clone https://github.com/tumuyan/ESRGAN-Android-TFLite-Demo Ope
方法tf.get_variable()用来获取或创建一个变量,而不是直接调用tf.Variable.它采用的不是像`tf.Variable这样直接获取值来初始化的方法.一个初始化就是一个方法,创建其形状并且为这个形状提供一个张量.这里有一些在TensorFlow中使用的初始化变量: 代码 https://github.com/chenghuige/tensorflow-exp/blob/master/exam...
inference.py参考https://github.com/tensorflow/models/blob/master/research/object_detection/object_detection_tutorial.ipynb模型验证使用这里提供的inference.py脚本,请将这个脚本和run.sh一起放到models/research目录,与object_detection和slim平行。 注意修改run.sh中的数据集目录为自己的数据集目录。
git clone https://github.com/dashayushman/TAC-GAN.git cd TAC-GAN 1.2. Download the Dataset The model presented in the paper was trained on the flowers dataset. This To train the TAC-GAN on the flowers dataset, first, download the dataset by doing the following, Download the flower imag...
Projects Security2 Insights Additional navigation options New issue Closed Nagarjunasagar Description Version GitHub Desktop: Operating system: Steps to Reproduce Expected Behavior Actual Behavior Additional Information Logs request-info commentedon May 29, 2018 ...
TensorFlow implementation of original paper : https://github.com/hszhao/PSPNet Topics parsing tensorflow keras scene pyramid Resources Readme License MIT license Activity Stars 394 stars Watchers 19 watching Forks 174 forks Report repository Releases No releases published Packages No packag...
git clone git@github.com:philipperemy/tensorflow-multi-dimensional-lstm.git cd tensorflow-multi-dimensional-lstm # create a new virtual python environment virtualenv -p python3 venv source venv/bin/activate pip install -r requirements.txt # usage: trainer.py [-h] --model_type {MD_LSTM,HORIZONT...
If you want to contribute to the documentation, see https://github.com/vespa-engine/documentation Building You do not need to build Vespa to use it, but if you want to contribute you need to be able to build the code. This section explains how to build and test Vespa. To understand wh...
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai - activeloopai/deeplake
TensorFlow implementation of word2vec applied on https://www.kaggle.com/tamber/steam-video-games dataset, using both CBOW and Skip-gram. - warchildmd/game2vec