A Julia package for non-negative matrix factorization.
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Nn builder is a python package that lets you build neural networks in 1 line.
An open source AutoML toolkit for automate machine learning lifecycle.
Normconf is the tech conference about all the stuff that matters in data and machine learning, but doesn.
Open-source module for running AI workloads on Kubernetes in an optimized way.
An experimental physical interface for the NSynth machine learning algorithm.
NuMind builds state-of-the-art multimodal LLMs for document extraction, available via SaaS or enterprise deployment for control and privacy.
Free open-source SPSS alternative — menu-driven desktop statistics (t-tests, ANOVA, regression, survival analysis, ROC) with SPSS.sav import/export.
NVIDIA NIM supports machine learning models, deployment, inspection, datasets, or AI development workflows.
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.
A general statistics and machine learning library.
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.
An open-source cross-platform performance library for deep learning applications.
OneFlow is a performance-centered and open-source deep learning framework.
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.
Take Control of Your Research, Privately.
Grok - An LLM by xAI with and open weights. opensource.
Open VLM Leaderboard supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Source code and experiments results for TGS Salt Identification Challenge.