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rapidsai / raft

Star 623

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

machine-learning information-retrieval statistics clustering gpu distance linear-algebra cuda primitives sparse nearest-neighbors solvers vector-similarity anns random-sampling vector-search building-blocks llm vector-store neighborhood-methods
  • Updated May 16, 2024
  • Cuda

reddyprasade / Deep-Learning

Star 15

Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on artificial neural networks. Learning can be supervised, semi-supervised or unsupervised. Deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and con…

natural-language-processing deep-neural-networks deep-learning neural-network deep-reinforcement-learning speech-recognition neural-networks deep-learning-algorithms artificial-neural-networks deep-learning-tutorial audio-recognition anns hierarchical-learning biological-brains social-network-filtering board-game-programs
  • Updated Jan 27, 2021
  • Jupyter Notebook

Mohammad-Heydariii / Deep-Learning-and-Neural-Networks-Course

Star 2

This repository contains materials and course projects during attending the Intelligent Systems Course, for more detailed information please have a look at my Final_Report files which have been separately uploaded for each of the projects and consist of all required information about the implementations, analyses, and anything else you may conce…

deep-learning cnn recurrent-neural-networks gan dcgan perceptron memory-networks adaline cycle-gan anns feed-forward-neural-networks madaline
  • Updated Aug 15, 2022
  • Jupyter Notebook

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