Automated, simple, secure.
Plug-and-play Machine Learning
Only 15% ML Projects Are Successful!
of skilled data scientists & ML engineers?
Virtual ML Engineer
Develop enterprise-grade ML with no prior knowledge
Adam is an expert that guides you through ML development via chat
Train & deploy ML within hours
Adam automates your entire ML project incl. data preparation, training, deployment & monitoring
Ensure 100% data privacy
Adam is available on your own infrastructure, both in cloud and on-prem. You control your data.
- Virtual ML Engineer
Adam, an advanced AI assistant, uses Sapiema's framework to assist users in defining and managing machine learning projects, automating tasks, and providing expert remote assistance.
Install Adam: Slack, Teams, or integrate as Web API
Choose qualification profile: Data Analyst, Data Engineer, DataScientist, ML Engineer
Connect dataset: 30+ supported sources
Clean dataset with Adam's guidance or let Adam handle it
Adam manages infrastructure and the entire project's lifecycle
An advanced framework for machine learning projects, handling data cleaning, model development, and productionisation. Usable independently, streamlining large projects into a few lines of code.
Built on Tensorflow & TFX, integrated with Google Cloud and VertexAI
Supports on-premises development, Kubernetes deployment, and versatile CLI
Automated MLOps, data cleaning, hyperparameter tuning, and production monitoring
Integrated with Tensorboard, rich visualisation of the entire lifecycle
Easily deployable to other platforms (eg. Apache Spark)
The content below is for demonstrating purposes only. The MLpods Marketplace feature is coming soon.
This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image.
Detectron is Facebook AI Research's software system that implements state-of-the-art object detection algorithms, including Mask R-CNN.
OpenPose represents the first real-time multi-person system to jointly detect human body, hand, and facial keypoints (in total 130 keypoints) on single images.
Research project to advance the state of the art in machine intelligence for music and art generation
OpenNMT-py is the PyTorch version of the OpenNMT project, an open-source (MIT) neural machine translation framework.
CycleGAN and pix2pix
PyTorch implementation for both unpaired and paired image-to-image translation.