Available Engines
| MatDeck Free | Lite MD Python Designer | MD Python Designer | Engineering Designer | Visionary Deck | MatDeck | |
| IDE Python, MD Script and C | ||||||
| LabDeck Note, Formula Editor | ||||||
| WYSIWYG Narrative text editing + drag and drop features direct to canvas |
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| MD and Python GUI Designers | Limited | |||||
| Database Management SQL, PostgreSQL, SQLite, MySQL |
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| AI Bench for Modelling | ||||||
| Statistics | ||||||
| MD Chemistry | ||||||
| Embedded Python File and Functions | ||||||
| Deploy EXE | ||||||
| FFT | ||||||
| Digital Signal Processing – DSP | ||||||
| Image Processing | ||||||
| ArrayFire | ||||||
| Advanced Math Functions | ||||||
| Data Acquisition | ||||||
| Hardware Control and Monitor | ||||||
| SCADA | ||||||
| Virtual Instrumentation | ||||||
| Dashboard |
Our PyTorch AI generator is a no-code solution that enables you to effortlessly create and deploy custom AI models which is available in Visionary Deck and any MatDeck version. You don’t need to possess any coding skills or be a data scientist to utilize it successfully. Our user-friendly interface streamlines the entire process, making it straightforward and intuitive. By employing a concise and uncluttered graphical user interface (GUI), you can generate highly precise PyTorch AI models within a matter of minutes.
Benefits of the AI Bench
- Create AI Model with high levels of customisation
- Directly use variables from Pythons Scripts as well as LabDeck Notes.
- Predict New values from Python Variables directly
- Predict New Values from variables in LabDeck Notes
- Professional Python IDE
- 1600+ Python Functions
How do we use PyTorch?
Our generator utilizes the powerful PyTorch framework, which is recognized as one of the most prominent and respected open-source platforms for machine learning today. This ensures that your models are both accurate and reliable.
We employ the PyTorch framework to create, save, and train the AI models. PyTorch offers extensive customization and tuning capabilities, allowing us to achieve the highest levels of accuracy in model development. With our PyTorch AI Generator, you can expect precise and dependable AI models tailored to your specific needs.
Why use the AI No-Code PyTorch AI Generator?
Our no-code approach means that you can get started right away without having to spend months learning complex programming languages or data science concepts. This saves you time and money, and allows you to focus on what really matters: making the most accurate and reliable AI model.
We allow you to choose between 1, 3 and 5-layer AI Models and then finely tune each layer with the number of neurons as well as the activation type. This can all be done via drop down menu and require little to no skill and experience to create professional level AI Model.
Using PyTorch AI Models in LabDeck Notes
LabDeck Notes are one of the engines present in all MD Products and allow for the mixing of MD Functions, MD Toolkits and Python code all in one place with the same variables in Python and MD Documents.
Below we can see an example of how MatDeck allows for the integration of Python code, large datasets and AI Models all in one interactive document. AI Model can directly use variables from Python scripts or MD Documents to predict values and then import those values into the latter without the need of any code.
We can connect the PyTorch AI Bench to our MD Document, allowing us to import data variables such as Data1 and Data2, from there we can use the bottom half of the PyTorch AI Generator to predict values with our custom AI Model and then directly insert them into the MD Document.
Using a PyTorch AI model offers benefits such as a dynamic computation graph for flexible model adjustments, intuitive Python syntax for readability, seamless debugging with runtime value inspection, efficient GPU utilization, and a supportive community for shared resources and expertise. It also enables easy transfer learning, accommodates dynamic neural networks, and provides deployment options for real-world applications.
With our generator, you can customize the complexity of your neural network by adjusting the number of neurons in each layer, tailoring it to your specific requirements. To introduce nonlinearity and enhance decision-making, our generator offers various activation functions like ReLU, sigmoid, and tanh, enabling you to choose the most suitable one for your problem. Select from a range of optimizers such as Adam, RMSprop, and SGD to minimize model errors during training, depending on your dataset’s size and complexity.
Benefits of using a PyTorch AI Model
Using a PyTorch AI model offers benefits such as a dynamic computation graph for flexible model adjustments, intuitive Python syntax for readability, seamless debugging with runtime value inspection, efficient GPU utilization, and a supportive community for shared resources and expertise. It also enables easy transfer learning, accommodates dynamic neural networks, and provides deployment options for real-world applications.
This makes it ideal to be used in professional settings and is a few of the reasons why PyTorch is used through the world for creating AI Model.
What can the PyTorch AI Generator customize?
With our generator, you can customize the complexity of your neural network by adjusting the number of neurons in each layer, tailoring it to your specific requirements.
To introduce nonlinearity and enhance decision-making, our generator offers various activation functions like ReLU, sigmoid, and tanh, enabling you to choose the most suitable one for your problem.
Select from a range of optimizers such as Adam, RMSprop, and SGD to minimize model errors during training, depending on your dataset’s size and complexity.
Specify the type of problem (classification or regression) and adjust hyperparameters like learning rate, batch size, and epochs using our PyTorch AI Model generator.
Accessible through our user-friendly interface, these customization options allow anyone, regardless of coding experience, to create powerful AI models. Experiment with different settings until you find the optimal solution for your problem.
Our no-code PyTorch AI generator empowers users to create custom AI models without requiring in-depth programming or data science knowledge. It provides an efficient way to leverage the power of machine learning and artificial intelligence for solving real-world problems.
MatDeck features
MatDeck provides an extensive range of toolboxes that empower users to accomplish their objectives effortlessly, eliminating the need for coding. Whether you’re a beginner or an experienced coder, our platform offers access to over 1600 professional functions, ensuring optimal speed and simplicity. Some noteworthy features of MatDeck include:
- 6 GUI Designers: MatDeck Script, Python Tkinter, Python Kivy, Python Custom Tkinter and Python PySide2
- LabDeck Notes Integration with Toolboxes, AI and more
- Python IDE with autosuggestions and more
References
Sebastian Raschka, Yuxi (Hayden) Liu , Vahid Mirjalili, Dmytro Dzhulgakov Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python 2022
Ivan Gridin Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions (English Edition) 2021 BPB Publications
Jeremy Howard Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD 2020 O’Reilly media, Inc.
Jeremy Howard Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications 2019 O’Reilly