Machine Learning Development
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Skills
- Machine Learning
- Neural Networks
- Deep Learning
- Computer Vision
- Augmented Reality
- Natural Language Processing
- Transfer Learning
- Automatic Speech Recognition
- Jupiter
- Python
- PyTorch
- Catalyst
If you have already given machine learning a try in your app and need some help, or you’re tinkering with just how machine learning can bring you real business value, Evil Martians’ expert team can build a product with ML features and conduct experiments for your route to success and cost-effectively justify your hypothesis.
We utilize Martians machine learning knowledge for internal and customer products and open source projects, and contribute to ML libraries (including fast.ai and Catalyst).
In this project for numismatists, we launched a machine learning system to help collectors find lost provenances which could increase the value of their coins many times over
Our main framework for training Deep Learning models is PyTorch. We use it in conjunction with high-level Python-based frameworks and libraries to design and train Neural Networks—PyTorch Lightning, Catalyst, and others.
We leverage modern libraries for data labeling, processing, and visualization, image and audio augmentation. In our toolkit, we have instruments for fast iterations of prototype code, experiment orchestration and tracking, trained model transformation, and wide-spread deployment and testing tools from other development areas that fit ML products perfectly.
Read the full story on helping build the professional developer tool for machine learning teams
The Mars Rover sets its course by utilizing machine learning. As it gathers data, it refines and alters its path. Our ML team also vigorously studies emerging ML technologies and new advancements so that we can boost your product into the future and help you to build smarter features for users.
Learn how we use ML algorithms to build our own commercial open source product
