Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].
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Helps find, analyze or synthesize information for research and knowledge discovery.
A PyTorch implementation of DeepDream.
Creates or edits images with generative models and visual controls.
A PyTorch implementation of Justin Johnson's neural-style (neural style transfer).
Neuroph is lightweight Java neural network framework.
NeverWrite uses AI to draft, edit, summarize, or adapt written content.
Join the discussion on this paper page.
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.
Noi provides conversational AI for questions, tasks, and general assistance.
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.
Creates or edits images with generative models and visual controls.
NuMind builds state-of-the-art multimodal LLMs for document extraction, available via SaaS or enterprise deployment for control and privacy.
Reference implementations of ML models written in numpy.
Free open-source SPSS alternative — menu-driven desktop statistics (t-tests, ANOVA, regression, survival analysis, ROC) with SPSS.sav import/export.