CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.
Directory
Search results
Published directory entries matching your search.
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.
Clojure Fast Matrix Library - GPU and native CPU.
Visualizer for neural network, deep learning and machine learning models.
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.
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.
A completely unstable and experimental package that extends Torch's builtin nn library.