Use a suite of tools that streamline and enhance development process. These tools have been trusted in many projects, which have accelerated Machine Learning development.
VS Code
A versatile, lightweight code editor. Customize it with extensions for a personalized coding experience.
GitHub
Collaborate seamlessly with team members, manage version control, track bugs, and handle feature requests efficiently.
TensorFlow & PyTorch
Robust frameworks for building, training, evaluating, optimizing, and deploying machine learning models.
Jupyter
A web-based interactive computing platform. Execute code blocks instantly and visualize data and model results all in one place.
Docker
Containerize your development environment. It’s invaluable when working with different ML framework versions and GPU drivers.
Netron
Quickly visualize model architecture. Gather detailed information on model layers and design.
Weights & Biases
Track and log your training and evaluation results across multiple experiments. Summarize your findings in comprehensive reports.
