PyTorch
TensorFlow
Keras
Scikit-learn
NumPy
OpenCV
Pandas
CUDA Toolkit
CloudTalk
Aircall
Dialpad
RingCentral
JustCall
Nextiva
NICE inContact
Genesys Cloud
CloudTalk is a contact center management solution that enables businesses to streamline communications with teams and customers using virtual call systems. It allows executives to manage inbound/outbound calls, extract interaction history from various sources and provide personalized support to clients. All you have to do is connect to the internet and CloudTalk will take care of everything else. The advantage of cloud software is also the ability to fully scale and adapt to customer needs.
CloudTalk provides a number of advanced features such as automated call distribution, call forwarding, interactive voice response, custom reporting, international numbers and much more. One of the biggest benefits are the integrations with globally used systems (eg HubSpot, Zendesk, Salesforce, Intercom, Freshdesk ...) where companies have all the data in one place and always up to date.
PyTorch CloudTalkCloudTalk is recommended for small to medium-sized businesses, contact centers, and enterprises that need a comprehensive virtual phone system. It's especially beneficial for those looking to enhance their customer support capabilities and improve internal communication.
Based on our record, PyTorch seems to be more popular. It has been mentiond 133 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.
To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / about 1 month ago
With the quick emergence of new frameworks, libraries, and tools, the area of artificial intelligence is always changing. Programming language selection. We're not only discussing current trends; we're also anticipating what AI will require in 2025 and beyond. - Source: dev.to / about 2 months ago
Next, we define a training loop that uses our prepared data and optimizes the weights of the model. Here's an example using PyTorch:. - Source: dev.to / 2 months ago
8. TensorFlow and PyTorch: These frameworks support AI and machine learning integrations, allowing developers to build and deploy intelligent models and workflows. TensorFlow is widely used for deep learning applications, offering pre-trained models and extensive documentation. PyTorch provides flexibility and ease of use, making it ideal for research and experimentation. Both frameworks support neural network... - Source: dev.to / 4 months ago
Frameworks like TensorFlow and PyTorch can help you build and train models for various tasks, such as risk scoring, anomaly detection, and pattern recognition. - Source: dev.to / 4 months 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.
Aircall - Aircall is a call center software of a new generation designed for fast growing companies. Setup instantly and integrates to your CRMs
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Dialpad - Switch is a cloud-based phone system built for Google Apps users.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
RingCentral - RingCentral is the leading provider of cloud-based communications and collaboration solutions for small business and enterprise companies
