A parallel neural net microframework.
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A PyTorch implementation of DeepDream.
Helps find, analyze or synthesize information for research and knowledge discovery.
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.
Visualizer for neural network, deep learning and machine learning models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Clojure Fast Matrix Library - GPU and native CPU.
Naut provides machine-learning models, research, training resources, or evaluation tools.
General natural language facilities for node.
Narrow AI provides machine-learning models, research, training resources, or evaluation tools.
Napkin turns your text into visuals so sharing your ideas is quick and effective.
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.
Creates, rewrites or summarizes written content with language models.
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.
MultiOn provides machine-learning models, research, training resources, or evaluation tools.
Multi-Agents for Clinical Decision Making provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.