anns

There are 32 repositories under anns topic.

  • milvus

    milvus-io/milvus

    A cloud-native vector database, storage for next generation AI applications

    Language:Go29.7k27611.8k2.8k

  • milvus-io/pymilvus

    Python SDK for Milvus.

    Language:Python98918863315

  • rapidsai/raft

    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.

    Language:Cuda74425668189

  • milvus-io/milvus-sdk-java

    Java SDK for Milvus.

    Language:Java38412271155

  • milvus-io/milvus-sdk-go

    Go SDK for Milvus.

    Language:Go3358275106

  • rapidsai/cuvs

    cuVS - a library for vector search and clustering on the GPU

    Language:Cuda1801012561

  • brtholomy/hnsw

    HNSW tutorial

    Language:Python56113

  • milvus-io/milvus.io

    Milvus official website.

    Language:TypeScript431010220

  • LukeTheHecker/esinet

    EEG inverse solution with artificial neural networks. This package works with MNE-Python data structures for easy integration into your MNE-based M/EEG code

    Language:Jupyter Notebook38199

  • Jacyhust/LSH-APG

    This is a source code for LSH-APG (PVLDB 2023)

    Language:C++22224

  • reddyprasade/Deep-Learning

    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 convolutional neural networks have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics, drug design, medical image analysis, material inspection and board game programs, where they have produced results comparable to and in some cases superior to human experts.

    Language:Jupyter Notebook15208
  • shotit

    shotit/shotit

    Shotit is a screenshot-to-video search engine tailored for TV & Film, blazing-fast and compute-efficient.

    14003

  • ucfai/core

    AI@UCF's custom-made course, organized by semesters

    Language:Jupyter Notebook1313014

  • KanchiShimono/python-faiss-grpc-server

    Simple gRPC server for vector searching implemented by Python and Faiss

    Language:Python6213

  • hhy3/SimpleANNS

    Naive implementations of some ANNS (Approximate Nearest Neighbor Search) algorithms without any optimization and generalization.

    Language:C++5100

  • shotit/shotit-api

    The ultimate brain of Shotit, in charge of task coordination.

    Language:JavaScript5001

  • shotit/shotit-worker

    Four core workers of shotit: watcher, hasher, loader and searcher.

    Language:JavaScript3030

  • heydarimo/Deep-Learning-and-Neural-Networks-Course

    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 concern about that!

    Language:Jupyter Notebook2100

  • heydarimo/DQN-vs-DDQN-LunarLander-Environment

    In this Repository, we intend to implement the DQN and also the DDQN algorithm in case of training an agent to solve the Lunar-Lander problem. there are lots of exciting results after training which have been attached.

    Language:Jupyter Notebook2100

  • Ishan-Kotian/Bank-Customers-Churn-Classification-with-Deep-Learning

    The goal is to make an Artificial Neural Network that can predict, based on geo-demographical and transactional information given above, if any individual customer will leave the bank or stay (customer churn). Also, rank all the customers of the bank, based on their probability of leaving.

    Language:Jupyter Notebook2100

  • shotit/shotit-frontend

    The frontend of shotit, with full documentation.

    Language:MDX2020

  • shotit/shotit-media

    Media broker for serving video preview for shotit

    Language:JavaScript2020

  • shotit/shotit-meta-service

    Provide meta information and utility for shotit, for example, image proxy, cast and poster etc.

    Language:JavaScript2001

  • shotit/shotit-sorter

    Sort the search results of Shotit to increase the correctness of Top1 result by using Keras and Faiss.

    Language:Python2100

  • BlaiseMuhirwa/flatnav-experimental

    Fast and minimal header-only graph-based index for approximate nearest neighbor search (ANNS). https://blaisemuhirwa.github.io/flatnav-experimental

    Language:C++1120

  • CDev-io/CGraph-ANNS

    GraphANNS 源链接

    Language:C++1001

  • shotit/.github

    The README profile of Shotit.

    1000

  • shotit/shotit.github.io

    The front page to shotit.github.io

    Language:HTML1000

  • tgll/neuralnetworks-labs

    perceptron, backprop, RBF, SOM, hopfield nets, autoencoders (no external ML libs)

    Language:Jupyter Notebook1200

  • matrixji/annb

    Approximate Nearest Neighbor Benchmark

    Language:Python0230

  • Netanelshoshan/Data-Mining

    Data Mining Class @ The Open University

    Language:Jupyter Notebook0200

  • Develop-Packt/Discovering-the-Building-Blocks-of-Neural-Networks-with-PyTorch

    Discover the main building blocks of neural networks and understand the three main neural network architectures. Explore the process of solving a regression data problem

    Language:Jupyter Notebook301