Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Llama3 implementation one matrix multiplication at a time.
A Natural Adversarial Language Processing framework built over Tensorflow.
General natural language facilities for node.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Model viewer for inspecting neural network architecture files from many machine learning frameworks.
Semantic search and workflows powered by language models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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).
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Machine learning for NeuroImaging in Python.
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.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A Julia package for non-negative matrix factorization.
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.