A model by Google Research for generating high-fidelity music from text descriptions.
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MVSEP uses AI for speech, voice, transcription, music, or other audio workflows.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A flexible and efficient library for deep learning.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Creates, rewrites or summarizes written content with language models.
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.
Napkin turns your text into visuals so sharing your ideas is quick and effective.
Narrow AI provides machine-learning models, research, training resources, or evaluation tools.
General natural language facilities for node.
Naut provides machine-learning models, research, training resources, or evaluation tools.
Clojure Fast Matrix Library - GPU and native CPU.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Visualizer for neural network, deep learning and machine learning models.
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].
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.