The integrated Learning and Data Science platform
HFactory is the first all-in-one platform for Data Science and AI education. Never again will you have to cobble together a variety of tools next to campus-wide LMS totally disconnected from your real needs. HFactory takes care of all the dispiriting setup work, integrates ready-to-use Data Science environments and even handles auto-grading of assignments.
Serverless Jupyter notebooks
For entry-level courses and lightweight Data Science workloads, serverless notebooks offer unparalleled convenience. Computing happens directly on the user’s machine while the environment is fully pre-configured on the platform, including a seamless distribution of notebooks and datasets.
Cloud Data Science Studio
For more intensive workloads requiring advanced data processing libraries or GPUs, HFactory includes a comprehensive Data Science Studio based on open, standard tools. The solution also allows easy sharing of datasets or example notebooks via mounted read-only volumes on student instances.
Metered access to GPU resources
HFactory enables precise allocation and tracking of compute credits for GPU access across programs, courses, and down to individual groups or students. To further optimise costs, our smart inactivity detection engine automatically and gracefully shuts down idle student instances.
Autograding of model assignments
HFactory incorporate a built-in evaluation of executed model performance similar to Kaggle. This allows you to automatically grade and rank students based on the evaluation metric of choice (the full-range of scikit-learn evaluation metrics is supported, alongside custom metrics).
Typical deployment
Data Science and ML courses
Building on its origin story within the Data Analytics program ranked #3 worldwide in QS rankings, HFactory lets you deploy your course in a fully managed and integrated solution. You are finally in control while students benefit from a state-of-the-art data science environment.
Deep Learning courses
HFactory packages everything you need to run Deep Learning algorithms. On top of GPU access and up-to-date versions of Tensorflow, Keras and PyTorch, the Data Science extension also offers support for Julia, Sacred, Ollama, a ready-to-use connection to Neptune.ai as well as access to Nvidia instances monitoring metrics.