My Favorite DevTools to Build AI/ML Applications!

Data Science And Machine Learning Data Science Tools Code Collaboration

PyTorch Landing Page
1

PyTorch

Open source deep learning platform that provides a seamless path from research prototyping to...
Pricing:
- Open Source
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more intuitive coding of complex AI models. Both frameworks support a wide range of AI models, from simple linear regression to complex deep neural networks.

#Data Science And Machine Learning #Data Science Tools #AI 106 social mentions
Kubernetes Landing Page
2

Kubernetes

Kubernetes is an open source orchestration system for Docker containers
Pricing:
- Open Source
Deploying AI models into production requires tools that can package applications and manage them at scale. Docker simplifies the deployment of AI applications by containerizing them, ensuring that the application runs smoothly in any environment. Kubernetes, an orchestration system for Docker containers, allows for the automated deployment, scaling, and management of containerized applications, essential for AI applications that need to scale across multiple servers or cloud environments.

#Developer Tools #DevOps Tools #Containers As A Service 283 social mentions
Keras Landing Page
3

Keras

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Pricing:
- Open Source
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.

#Data Science And Machine Learning #Data Science Tools #OCR 31 social mentions
GitHub Landing Page
4

GitHub

Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
Pricing:
- Open Source
Collaboration and version control are crucial in AI/ML development projects due to the iterative nature of model development and the need for reproducibility. GitHub is the leading platform for source code management, allowing teams to collaborate on code, track issues, and manage project milestones. DVC (Data Version Control) complements Git by handling large data files, data sets, and machine learning models that Git can't manage effectively, enabling version control for the data and model files used in AI projects.

#Code Collaboration #Git #Version Control 2040 social mentions