Mocha
Jasmine
Webpack
Cypress.io
QUnit
JSHint
Ninja Build
SCons
Keras
TensorFlow
PyTorch
Scikit-learn
TFlearn
OpenCV
Clarifai
MLKit
MochaBased on our record, Keras seems to be a lot more popular than Mocha. While we know about 31 links to Keras, we've tracked only 3 mentions of Mocha. 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.
You may wanna have a look at Mocha Pro or PFTrack, depending on your requirements and your budget. Source: about 1 year ago
Don't pirate. If you need mesh tracking, I've had lots of success with Mocha Pro's PowerMesh. There's a free trial, and one month is only $37 USD. Source: over 2 years ago
Mocha is, at it's core, planar tracker, which means it tracks flat surfaces really well, but it's grown to become more of an "object tracker" that can track pretty much anything you want, the Pro version has a PowerMesh function similar to LockDown, powerful rotoscoping tools, and is generally considered to be incredibly useful in VFX. Here's the product page if you want to dive deeper. Pro is free for students... Source: almost 3 years ago
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 / 11 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 / 20 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
Jasmine - Behavior-Driven JavaScript
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.
Webpack - Webpack is a module bundler. Its main purpose is to bundle JavaScript files for usage in a browser, yet it is also capable of transforming, bundling, or packaging just about any resource or asset.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Cypress.io - Slow, difficult and unreliable testing for anything that runs in a browser. Install Cypress in seconds and take the pain out of front-end testing.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
