Learning environments

Within the Mail.Ru Cloud Solutions platform, you can create a data scientists workspace.

The data scientist workspace is a virtual machine image that includes popular machine learning frameworks and tools.

Composition of the product

CS a: Ubuntu 18.04 "Machine Learning"

Pre-installed components:

• NVIDIA GPU drivers
• NVIDIA CUDA
• NVIDIA CUDA Deep Neural Network Librayr (cuDNN)
• NVIDIA Docker
• Anaconda Batch Manager
• C / C ++ development tools (gcc, g ++, clang, gdb, make, cmake, etc.)
• Version control systems (git, svn, mercurial)

Working with conda

Conda is a cross-platform package manager for Python, R, Ruby, Lua, Scala, Java, JavaScript, C / C ++, FORTRAN. Conda is an advanced counterpart to pip + virtualenv.

The conda repos contain all the popular machine learning tools and frameworks such as pandas , scikit-learn , Matplotlib , XGBoost , LightGBM , PyTorch , TensorFlow, and more.

Vision

Vision is a technology for recognizing faces, objects, processes based on machine learning and artificial neural networks. Vision will automate and improve the accuracy of complex visual inspection of varying complexity.

Vision technologies are available through APIs that are constantly evolving. A list of them is available in this help center. Using the API, you can solve such cases as: