gspread | Keras | |
---|---|---|
6 | 78 | |
6,878 | 60,937 | |
- | 0.3% | |
9.5 | 9.9 | |
about 19 hours ago | 6 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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.
gspread
- There is framework for everything.
-
How to integrate smth with Google Sheets?
There's also gspread, which is sometimes a little nicer to work with.
-
gspread api error in Python3
Take a look at possible reasons and solutions here: https://github.com/burnash/gspread/issues/272
- How do I get gmail information?
-
Using Python with google sheets api
What wrapper/library are you using? Like this is a popular wrapper https://github.com/burnash/gspread
-
Build a Birthday Bot with Twilio and Spreadsheet
View on GitHub
Keras
-
Library for Machine learning and quantum computing
Keras
-
My Favorite DevTools to Build AI/ML Applications!
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development.
- Release: Keras 3.3.0
-
Getting Started with Gemma Models
After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow.
-
Keras 3.0
All breaking changes are listed here: https://github.com/keras-team/keras/issues/18467
You can use this migration guide to identify and fix each of these issues (and further, making your code run on JAX or PyTorch): https://keras.io/guides/migrating_to_keras_3/
- Keras 3: A new multi-back end Keras
-
Can someone explain how keras code gets into the Tensorflow package?
I'm guessing the "real" keras code is coming from the keras repository. Is that a correct assumption? How does that version of Keras get there? If I wanted to write my own activation layer next to ELU, where exactly would I do that?
-
How popular are libraries in each technology
Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks.
-
List of AI-Models
Click to Learn more...
-
Official Question Thread! Ask /r/photography anything you want to know about photography or cameras! Don't be shy! Newbies welcome!
I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them.
What are some alternatives?
google-api-python-client - 🐍 The official Python client library for Google's discovery based APIs.
MLP Classifier - A handwritten multilayer perceptron classifer using numpy.
pygsheets - Google Sheets Python API v4
scikit-learn - scikit-learn: machine learning in Python
Telethon - Pure Python 3 MTProto API Telegram client library, for bots too!
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
boto3 - AWS SDK for Python
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
django-wordpress - WordPress models and views for Django.
tensorflow - An Open Source Machine Learning Framework for Everyone
gmail - A Pythonic interface for Google Mail
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.