yagooglesearch
TensorLayer
| yagooglesearch | TensorLayer | |
|---|---|---|
| 5 | 1 | |
| 231 | 7,275 | |
| - | 0.0% | |
| 5.7 | 0.0 | |
| 26 days ago | about 1 year ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
yagooglesearch
- GitHub - opsdisk/yagooglesearch: Yet another googlesearch - A Python library for executing intelligent, realistic-looking, and tunable Google searches.
- Yagooglesearch – Python lib for realistic and tunable Google searches
- Automate Google Python
- Show HN: Yagooglesearch – Python lib for realistic and tunable Google searches
TensorLayer
-
Introduction to ‘TensorLayer’: A Python-based Versatile Deep Learning Library Designed for Machine Learning Researchers
Github: https://github.com/tensorlayer/TensorLayer
What are some alternatives?
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googler - :mag: Google from the terminal
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Search Engine Parser - Lightweight package to query popular search engines and scrape for result titles, links and descriptions
SRGAN - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
biprop - Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing the network.
quickai - QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
TicTacToe - Tic Tac Toe game, designed to be used to train a Deep Neural Network via Reinforcement Learning (DQN). It can also be played by 2 humans and features a hard coded AI that never looses and will win if you do not do perfect play against it.
rlalgorithms-tf2 - Packaged deep reinforcement learning algorithms in tensorflow 2.x