A flexible and efficient library for deep learning.
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Creates, rewrites or summarizes written content with language models.
MyVibe supports deploying, serving, monitoring, or operating AI and machine-learning systems.
CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.
Llama3 implementation one matrix multiplication at a time.
A Natural Adversarial Language Processing framework built over Tensorflow.
Napkin turns your text into visuals so sharing your ideas is quick and effective.
General natural language facilities for node.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Clojure Fast Matrix Library - GPU and native CPU.
Semantic search and workflows powered by language models.
Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].
Helps find, analyze or synthesize information for research and knowledge discovery.
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.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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.