Announcing 2 new Nada Libraries: nada-ai and nada-numpy

[oceans404]

gm devs! We're excited to roll out 2 new Nada libraries: nada-ai and nada-numpy for enhancing data and AI workflows. These tools are designed by AI developers for AI developers to make it easier than ever to handle complex computations and machine learning on the Nillion Network. Dive in and see how nada-ai and nada-numpy supercharge your Nada development. 🚀

• ⭐️ Star nada-ai
• ⭐️ Star nada-numpy

nada-ai

Nada AI is a Python library for performing ML/AI tasks using Nada DSL and the Nillion Network. It offers an intuitive interface and seamless integration with ML frameworks like PyTorch and Sci-kit learn.

Key Features

• Exporting Model State: Integrates with models from existing ML frameworks, making it easy to export them to the Nillion network for use in Nada programs.
• AI Modules: Provides a PyTorch-like interface to create ML models in Nada by stacking pre-built common components, with the option to create custom components.
• Importing Model State: Easily import an exported model state from the Nillion network for use in a Nada program.

Examples using Nada AI

• Linear Regression: shows how to run a linear regression
• Neural Net: shows how to build & run a simple Feed-Forward Neural Net (both linear layers & activations)
• Complex Model: shows how to build more intricate model architectures with convolutions, pooling operations, linear layers and activations
• Time Series: shows how to run a Facebook Prophet time series forecasting model.
• Spam Detection: shows how to build a privacy-preserving spam detection model. Contains Logistic Regression, and cleartext TF-IDF vectorization.
• Multi layer Perceptron: shows how to build a privacy-preserving medical image classification model featuringg Convolutional Neural Network logic.

nada-numpy

Nada-Numpy is a Python library for algebraic operations on NumPy-like arrays using Nada DSL and the Nillion Network. It offers an easy-to-use interface for various computations like dot products, element-wise operations, and stacking, with broadcasting support similar to NumPy.

Key Features

• Matrix operations: Perform common matrix operations on NadaArrays (a NumPy-like matrix object).
• Element-wise Operations: Perform matrix arithmetic with support for broadcasting.
• Rational Number Support: Use Rational and SecretRational for simplified decimal number operations on Nillion.

Examples using nada-numpy

• Dot Product shows how to efficiently program a dot product.
• Matrix Multiplication shows how to efficiently program a matrix multiplication.
• Broadcasting shows how to efficiently use broadcasting.
• Rational Numbers shows how to use Nada Numpy Rational datatypes to work with fixed-point numbers.

Start building with nada-ai and nada-numpy

Start building today with some ideas from @jcabrero and @mathias-nillion, the Nillion gigabrains behind nada-ai and nada-numpy

Ideas for what you can build with nada-ai

Easy

• Make a new example where you run one (or more) of our existing models on an interesting niche dataset

Medium

• Implement a support vector machine (SVM) - either regression or classification (medium)
• Port a torch module of choice
• Implement KNN classification

Hard

• Implement decision tree
• Implement a clustering algo of choice

Ideas for what you can build with nada-numpy

Easy

• Implement covariance matrix

Medium

• Implement a correlation coefficient (eg Pearson) of choice (note: requires sqrt which is not yet implemented)
• Implement a statistical test statistic (eg t test statistic) of choice (note: requires sqrt which is not yet implemented)

Hard

• Implement matrix decomposition: eigenvalues, eigenvectors, SVD, PCA
• Implement NadaArray sorting - fastest implementation wins

Tell us what you think

We can’t wait to see what you build on Nillion with nada-ai and nada-numpy, libraries developed with your feedback in mind to simplify your data and AI workflows in Nada. Let us know what you think of the libraries by posting your feedback here on Github Discussions. Also keep an eye out for Builder Bounties with nada-ai and nada-numpy, dropping next week.

[oceans404]

Dive into the docs here: https://docs.nillion.com/nada-libraries