Keras
TensorFlow
PyTorch
Scikit-learn
TFlearn
OpenCV
Clarifai
MLKit
HoDoKu
Yasminoku
nsudoku
Simple Sudoku
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HoDoKuBased on our record, Keras should be more popular than HoDoKu. It has been mentiond 31 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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. - Source: dev.to / 12 days ago
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. - Source: dev.to / 21 days ago
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. - Source: dev.to / 11 months ago
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. Source: 12 months ago
Pandas comes with many complex tabular data operations. And, since it exists in a Python environment, it can be coupled with lots of other powerful libraries, such as Requests (for connecting to other APIs), Matplotlib (for plotting data), Keras (for training machine learning models), and many more. - Source: dev.to / over 1 year ago
Strmckr already gave you good advice on the order in which you can learn more advanced techniques. Some apps offer a practice mode in which you are given a specific grid that definitely needs that technique that you are trying to practice. One of those is my website sudoku.coach. The other one I know of is the windows software hodoku. Source: 10 months ago
On a Windows PC, Hodoku lets you input your own puzzle. You can just Copy and Paste this into the software:. Source: 11 months ago
Don't know about any sites but you can learn specific techniques in hodoku. Source: 11 months ago
If I'm solving in Hodoku it's easy enough to switch to full notation (Options | Show All Candidates | click "no"), but my usual pencil/pen/eraser on paper takes slightly more effort. Source: about 1 year ago
Download/install Hodoku (Free, as in 'beer'; will run on Mac/Windows/Linux - it's a Java .jar file (also available as a Windows executable file). Source: about 1 year ago
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Yasminoku - Sudoku game and solver totally written in DHTML.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
nsudoku - A Sudoku game made with ncurses.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Simple Sudoku - Freeware Sudoku Puzzle Maker and Solver