A Julia package for non-negative matrix factorization.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
An NLP library built in node over Natural, with entity extraction, sentiment analysis, automatic language identify, and so more.
Natural Language processing in the browser.
Machine learning for NeuroImaging in Python.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A PyTorch implementation of Justin Johnson's neural-style (neural style transfer).
A parallel neural net microframework.
A PyTorch implementation of DeepDream.
Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Semantic search and workflows powered by language models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
General natural language facilities for node.
A Natural Adversarial Language Processing framework built over Tensorflow.
Llama3 implementation one matrix multiplication at a time.
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.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Montague is a semantic parsing library for Scala with an easy-to-use DSL.
List of molecular design using Generative AI and Deep Learning.
Global, black box optimization engine for real world metric optimization by Yelp.