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A PyTorch implementation of DeepDream.
A parallel neural net microframework.
A PyTorch implementation of Justin Johnson's neural-style (neural style transfer).
Neuroph is lightweight Java neural network framework.
Join the discussion on this paper page.
Nimblebox supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Natural Language processing in the browser.
An NLP library built in node over Natural, with entity extraction, sentiment analysis, automatic language identify, and so more.
A Julia package for non-negative matrix factorization.
Nn builder is a python package that lets you build neural networks in 1 line.
This package provides graphical computation for nn library in Torch7.
A completely unstable and experimental package that extends Torch's builtin nn library.
Support Vector Machine for Node.js.
NuMind builds state-of-the-art multimodal LLMs for document extraction, available via SaaS or enterprise deployment for control and privacy.
AI Animal Explorer is an Omniverse extension that enables creators to quickly prototype unique 3D animal meshes.
GNU Octave is a high-level interpreted language, primarily intended for numerical computations.(Free Matlab).
Serve Llama 2 and other large language models locally from command line or through a browser interface.
Voice AI that turns calls into outcomes - and gets sharper with each one. Our own model, built for the phone. Sub-400ms response. Live in days.
Fujitsu Research's post-training quantization pipeline for LLMs (QEP, AutoBit, JointQ, rotation) with vLLM plugin (arXiv:2603.28845).
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).
A library that enables training PyTorch models with differential privacy.
A list of open LLMs available for commercial use.