Machine Learning
Technologies

Explore the cutting-edge technologies we use to create the difference.
AWS
AWS
Comprehensive cloud computing platform that provides on-demand access to computing power, storage, and a wide range of services for building and scaling applications
Azure Machine Learning
Azure Machine Learning
Use an enterprise-grade AI service for the end-to-end machine learning lifecycle.
Jupyter Notebook
Jupyter Notebook
An open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text.
Keras
Keras
An open-source neural-network library written in Python.
Matplotlib
Matplotlib
A comprehensive library for creating static, animated, and interactive visualizations in Python.
ML.NET
ML.NET
An open source and cross-platform machine learning framework.
Numpy
Numpy
The fundamental package for scientific computing with Python.
NVIDIA NeMo
NVIDIA NeMo
Toolkit for building, training, and deploying LLMs and speech models.
OpenCV
OpenCV
An open-source computer vision and machine learning software library.
Pandas
Pandas
A fast, powerful, flexible, and easy-to-use open-source data analysis and manipulation tool.
PyTorch
PyTorch
An open-source machine learning framework that accelerates the path from research prototyping to production deployment.
Runpod
Runpod
Decentralized cloud infrastructure for deploying AI workloads and models.
Scikit-learn
Scikit-learn
A free software machine learning library for the Python programming language.
Scipy
Scipy
A Python-based ecosystem of open-source software for mathematics, science, and engineering.
TensorFlow
TensorFlow
An end-to-end open-source platform for machine learning.
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