Kamua
Flixier
Flo
Node Video
Streamlabs Podcast Editor
Insense & Paid Media
CapCut
KnowMe
Keras
TensorFlow
PyTorch
Scikit-learn
TFlearn
OpenCV
Clarifai
MLKit
Based on our record, Keras seems to be a lot more popular than Kamua. While we know about 31 links to Keras, we've tracked only 1 mention of Kamua. 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.
Thank you for mentioning Tiny Vid, that's exactly why we built it. To be able to set target file size (which Handbrake doesn't have) and also to have a Preview when you want to trim stuff (something Handbrake also doesn't have). I've seen you're using Adobe PR as well, maybe if you even need the need to crop better using AI, you'll give Kamua a try :D. 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 / 16 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 / 24 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: almost 1 year 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
Flixier - Flixier Pro is an online video editor that speeds up your workflow with 1 minute rendering on any device, streamlined communication and collaboration features and plenty of cloud storage.
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.
Flo - Voice based video editing app powered by A.I & Deep Learning
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Node Video - Most powerful video editing app ever
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.