qiankun
Keras
qiankun | Keras | |
---|---|---|
6 | 79 | |
15,458 | 61,075 | |
0.8% | 0.5% | |
7.0 | 9.9 | |
14 days ago | about 10 hours ago | |
TypeScript | 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.
qiankun
-
Micro frontend frameworks in 2024
qiankun - enables you and your teams to build next-generation and enterprise-ready web applications leveraging Micro Frontends. It is inspired by and based on single-spa. Ref- https://github.com/umijs/qiankun
-
There is framework for everything.
https://bit.dev/ https://piral.io/ https://github.com/umijs/qiankun https://github.com/single-spa/single-spa
-
[AskJS] How to import React npm into Vue project
github qiankun
-
Choosing a Micro Frontend Framework
Others: FrintJS, qiankun, Berial, and Nuz
-
Let's Create A Web Application With Micro Frontends And Firebase
We will be using the package Qiankun (This is a micro frontend framework)
-
Micro Frontends Patterns#14: Reading List
umijs/qiankun: 📦 🚀 Blazing fast, simple and completed solution for micro frontends.
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?
single-spa - The router for easy microfrontends
MLP Classifier - A handwritten multilayer perceptron classifer using numpy.
Next.js - The React Framework
scikit-learn - scikit-learn: machine learning in Python
icestark - :tiger: Micro Frontends solution for large application(面向大型应用的微前端解决方案),站点国内镜像:https://icestark.gitee.io
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
Bit - A build system for development of composable software.
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
luigi - Micro frontend framework
tensorflow - An Open Source Machine Learning Framework for Everyone
ilc - Enterprise-ready framework for Micro Frontends composition into SPA with SSR & i18n support
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.