PyTorch
TensorFlow
Keras
Scikit-learn
NumPy
OpenCV
Pandas
CUDA Toolkit
CircleCI
Jenkins
Codeship
Travis CI
Buddy
Bitrise
Bamboo
TeamCity
PyTorch CircleCIBased on our record, PyTorch should be more popular than CircleCI. 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 / 29 days 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 1 month 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
In this tutorial, you will walk through the process of building, testing, and deploying a multi-agent AI system using LangGraph, Docker, AWS Lambda, and CircleCI. You will develop a research-driven AI workflow where different agents,such as fact-checking, summarization, and search agents, work together seamlessly. You will package this application into a Docker container, deploy it to AWS Lambda, and automate the... - Source: dev.to / 11 days ago
Tools like Jenkins, GitLab CI/CD, and CircleCI offer capabilities for parallel testing and test caching, allowing multiple tests to run simultaneously. This approach significantly reduces overall testing time and prevents unnecessary delays in deployment. Industry leaders such as Netflix and Amazon employ these practices to minimize outages and maintain high service quality. - Source: dev.to / 3 months ago
CircleCI is a leading cloud-based platform for CI/CD that automates the software development process, enabling teams to build, test, and deploy applications with efficiency and precision. By integrating seamlessly with popular version control systems like GitHub, GitLab and Bitbucket, CircleCI enhances collaboration and accelerates development cycles. - Source: dev.to / 3 months ago
GitHub and CircleCI Accounts: You will need a GitHub account to host your project’s repository and a CircleCI account to automate testing and deployment through CI/CD. - Source: dev.to / 3 months ago
CircleCI is a CI/CD platform that automates the process of building, testing, and deploying software. It helps developers integrate code changes more frequently and efficiently, ensuring that software development teams can detect and fix errors quickly. - Source: dev.to / 3 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.
Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Codeship - Codeship is a fast and secure hosted Continuous Delivery platform that scales with your needs.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Travis CI - Simple, flexible, trustworthy CI/CD tools. Join hundreds of thousands who define tests and deployments in minutes, then scale up simply with parallel or multi-environment builds using Travis CI’s precision syntax—all with the developer in mind.
