CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.
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Ncnn is a high-performance neural network inference framework optimized for the mobile platform.
Visualizer for neural network, deep learning and machine learning models.
Model viewer for inspecting neural network architecture files from many machine learning frameworks.
Analyzes structured data and helps produce queries, insights or visualizations.
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
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).
An open source tool for running arbitrary queries against public data from the Stack Exchange network.
TF-GAN is a lightweight library for training and evaluating Generative Adversarial Networks (GANs).
Example of how the neural network learns to predict the angle between two points created with Synaptic.
Minimalist neural network library optimized for sparse data and single machine environments.
AI Native database for embedding vectors.