Visualizer for neural network, deep learning and machine learning models.
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Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].
A PyTorch implementation of DeepDream.
A parallel neural net microframework.
A PyTorch implementation of Justin Johnson's neural-style (neural style transfer).
A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.
Neuroph is lightweight Java neural network framework.
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We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Machine learning for NeuroImaging in Python.
Matlab is a great language for prototyping ideas. It comes with many libraries specially for machine learning and statistics. But when….
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.
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.
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.