Actioner
Zapier
PullNotifier
Workbot for Slack
Halp
Axolo for GitLab
Provision.ai
Make.com
TensorFlow
PyTorch
Keras
IBM Watson Studio
Scikit-learn
Azure Machine Learning Service
Pega Platform
Azure Machine Learning Studio
Actioner is a no-code workflow automation platform. It allows you to connect your tools with each other and build human-in-the-loop automation.
Actioner works perfectly with Slack. It has an app directory (https://actioner.com/app-directory) full of Slack bots - these are built by the Actioner team using the platform. They are ready-to-use apps and just require you to connect Slack and the other tool you want to use in Slack.
With seamless integration, you can complete any task in your tool (HubSpot, Zendesk, Jira, PagerDuty, GitHub, Bitbucket, and more.) without leaving Slack. You can access a wide variety of use cases in our library (https://actioner.com/use-cases). You can explore use cases such as sales automation, incident management, ticket management, DevOps automation, pipeline and pull request management, and lots more.
Actioner allows you to turn Slack into a digital HQ with its extended capabilities to integrate any tool with open API with Slack and customize your Slack apps and workflows.
Actioner TensorFlowActioner's answer
Actioner is a platform that allows users to build and automate workflows using AI from Slack. It also has an app directory full of pre-built workflows and apps tailored specifically for Slack.
Actioner's answer
Actioner does not have a direct competitor. But why the answer to "why use Actioner?" is; is to establish an AI-first company culture, turn Slack into a digital HQ through running any business operations without leaving Slack.
Actioner's answer
Our primary audience is AI enthusiasts, early adapters, tech geeks and of course Slack users.
Actioner's answer
Actioner was found in 2021 by a group of Ex-Atlassian employees--A team who has founded and developed the leading incident management tool, OpsGenie.
Actioner's answer
Actioner is used by various types of companies and industries, but for privacy concerns for now we prefer to not use any brand names.
Actioner's answer
For storage: AWS DynamoDB, AWS S3, ElasticSearch For computing: AWS ECS Fargate + AWS Lambda For network: AWS Route 53, AWS Cloudfront, AWS API Gateway, AWS ELB For messaging: AWS SQS, AWS SNS, AWS Kinesis
I liked how Actioner abstracts the use cases with dedicated apps while it also provides the ability to customize the entire behavior with platform capabilities.
Have been using Actioner for our internal ticketing; and it's working great! Their support team is also top notch! Price is fair, too, very advantageous especially when you use multiple apps.
Based on our record, TensorFlow seems to be more popular. It has been mentiond 8 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.
The open-source movement offers hope here. Projects like Hugging Face are democratizing access to state-of-the-art models, while initiatives like Google's TensorFlow provide powerful frameworks without licensing costs. But even open-source solutions require technical expertise that many lack. - Source: dev.to / 4 months ago
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 3 years ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: about 4 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 4 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: over 4 years ago
Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
PullNotifier - PullNotifier - a Github and Slack integration app. The most efficient Pull Request notifications on Slack -> PullNotifier allows you to see your team's latest pull request status without getting spammed with notifications.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Workbot for Slack - Work your apps from Slack
IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.