AI/ML Development Tools
Explore the essential tools and platforms to kickstart your Artificial Intelligence and Machine Learning journey.
Microsoft Azure Machine Learning
A cloud-based service that helps you train, deploy, and manage machine learning models at scale. Offers a visual designer and automated ML capabilities.
Learn MoreVisual Studio Code
A lightweight yet powerful source code editor that supports extensions for virtually any programming language, including Python, R, and Julia, with excellent AI/ML integration.
Get VS CodeTensorFlow
An open-source library developed by Google for numerical computation and large-scale machine learning. Widely used for deep learning.
Explore TensorFlowPyTorch
An open-source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Meta AI.
Discover PyTorchScikit-learn
A simple and efficient tools for predictive data analysis, built upon NumPy, SciPy, and Matplotlib. Offers a comprehensive suite of classification, regression, and clustering algorithms.
View Scikit-learnJupyter Notebook
An open-source web application that allows you to create and share documents containing live code, equations, visualizations, and narrative text. Ideal for data exploration and prototyping.
Try JupyterONNX Runtime
High performance inference engine for ONNX models. Allows you to run models trained in various frameworks on a wide range of hardware.
Get ONNX Runtime