A Julia package for non-negative matrix factorization.
Directory
Models & Machine Learning
Models and machine learning covers model hubs, research papers, training guides and evaluation tools. The topic mixes practical resources with reference material, so you will find repositories that host downloadable models next to sites that explain how a technique works. Some entries are collections of papers or benchmarks, and others are tutorials that walk through fine-tuning or deployment. It pays to compare the model licence, the training data, the hardware needed and the date of the last update. The field moves quickly, so verify version notes on the source before you build on anything listed here.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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.
An open source AutoML toolkit for automate machine learning lifecycle.
A completely unstable and experimental package that extends Torch's builtin nn library.
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.
Not Human Search provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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.
AI Animal Explorer is an Omniverse extension that enables creators to quickly prototype unique 3D animal meshes.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
GNU Octave is a high-level interpreted language, primarily intended for numerical computations.(Free Matlab).
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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.
Fujitsu Research's post-training quantization pipeline for LLMs (QEP, AutoBit, JointQ, rotation) with vLLM plugin (arXiv:2603.28845).
An open-source cross-platform performance library for deep learning applications.
OneFlow is a performance-centered and open-source deep learning framework.
online demos provides machine-learning models, research, training resources, or evaluation tools.