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Build AI agents and multi-agent workflows in.NET, Python, and Go with Microsoft Agent Framework.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

It implemented multi-perceptrons neural network (ニューラルネットワーク) based on Back Propagation Neural Networks (BPN) and designed unlimited-hidden-layers.

CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.

Ncnn is a high-performance neural network inference framework optimized for the mobile platform.

Visualizer for neural network, deep learning and machine learning models.

Analyzes structured data and helps produce queries, insights or visualizations.

Helps find, analyze or synthesize information for research and knowledge discovery.

A parallel neural net microframework.

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

Named-entity recognition using neural networks providing state-of-the-art-results.

Neuroph is lightweight Java neural network framework.

Nn builder is a python package that lets you build neural networks in 1 line.

Neural networks framework in pure C: training and inference, no dependencies.

Compiler technology to transform a valid Open Neural Network Exchange (ONNX) graph into code that implements the graph with minimum runtime support.

An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning in Scala (3).

Open-source platform for building AI agent networks with multi-protocol support (WebSocket, gRPC, HTTP, MCP, A2A). opensource.

Free and open source face recognition with deep neural networks.

Simple, realtime visualization of neural network training performance.

Machine Learning library for PHP. Algorithms, Cross Validation, Neural Network, Preprocessing, Feature Extraction and much more in one library.

Peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft.

Tensors and Dynamic neural networks in Python with strong GPU acceleration.

Graph Neural Network Library for PyTorch.

Self Organizing Map written in Python (Uses neural networks for data analysis).