EasyMorph
Alteryx
Tableau Prep
Toad Data Point
Trifacta
Palantir Foundry
Altair Monarch
Omniscope Evo
Keras
TensorFlow
PyTorch
Scikit-learn
TFlearn
OpenCV
Clarifai
MLKit
EasyMorphBased on our record, Keras should be more popular than EasyMorph. 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.
Your task could be trivially done with EasyMorph (https://easymorph.com). We've designed it exactly for such use cases. Data needs of non-technical people have long been neglected. It was believed that any data wrangling should be done by IT people. So all non-technical people had was Excel. Luckily, the no-code movement finally started addressing that issue with a varying degree of success. - Source: Hacker News / almost 2 years ago
EasyMorph | F# Developer | Full-time, Remote | https://easymorph.com EasyMorph is a powerful data wrangling and ETL application that makes life easier for thousands of knowledge workers around the world. Your job would be to keep developing our high-performance best-in-class columnar data transformation engine that lies at the heart of the application. It's a challenging task that requires an experienced F#... - Source: Hacker News / almost 2 years ago
>PRQL is intended to be a modern, simple, declarative language for transforming data It's not declarative. It's functional. I believe that the approach that is followed by PRQL is more practical than SQL. We've implemented a similar approach in our visual ETL tool for non-technical people (https://easymorph.com) and it works wonderfully. Other cool things you can do with this approach (and can't with SQL): *... - Source: Hacker News / over 2 years ago
I started a company that built, I believe, the most advanced no-code data automation desktop application (https://easymorph.com). It's entirely bootstrapped, profitable and pays salaries to 10+ people (and we keep hiring). Many our customers specifically looked for an on-prem solution as they don't want to deal with SaaS and its privacy issues and use-based pricing. With an on-prem tool like ours they get... - Source: Hacker News / over 2 years ago
May I suggest your non-tech users to try EasyMorph[1] (I'm the founder)? It's easier than PowerQuery (it's completely no-code) and at the same time more powerful. 80% of PowerQuery capabilities require coding. Our tool is 100% visual (and has a free edition). [1] https://easymorph.com. - Source: Hacker News / over 2 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 / 25 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
Alteryx - Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.
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.
Tableau Prep - Tableau Prep is comprised of two products: Prep Builder and Prep Conductor.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Toad Data Point - Toad Data Point product page. Multi-platform database query and reporting tool
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.