vectorized

There are 30 repositories under vectorized topic.

  • StarRocks/starrocks

    StarRocks, a Linux Foundation project, is a next-generation sub-second MPP OLAP database for full analytics scenarios, including multi-dimensional analytics, real-time analytics, and ad-hoc queries.

    Language:Java8.1k2087.2k1.7k
  • lakesoul-io/LakeSoul

    LakeSoul is an end-to-end, realtime and cloud native Lakehouse framework with fast data ingestion, concurrent update and incremental data analytics on cloud storages for both BI and AI applications.

    Language:Java2.3k245115419
  • JustasMasiulis/xorstr

    heavily vectorized c++17 compile time string encryption.

    Language:C++1.1k2947192
  • SnellerInc/sneller

    World's fastest log analysis: λ + SQL + JSON + S3

    Language:Go98122740
  • kxhit/vMAP

    [CVPR 2023] vMAP: Vectorised Object Mapping for Neural Field SLAM

    Language:Python325142220
  • VectorizedMultiAgentSimulator

    proroklab/VectorizedMultiAgentSimulator

    VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

    Language:Python27283955
  • apache/doris-website

    Apache Doris Website

    Language:TypeScript713210145
  • fmutant/hlml

    vectorized high-level math library

    Language:C++43404
  • singlestore-labs/singlestore-logistics-sim

    Scalable package delivery logistics simulator built using SingleStore and Vectorized Redpanda

    Language:Go33509
  • apache/doris-thirdparty

    Self-managed thirdparty dependencies for Apache Doris

  • columnflow/columnflow

    Backend for columnar, fully orchestrated HEP analyses with pure Python, law and order.

    Language:Python22616116
  • singlestore-labs/singlestore-workshop-data-intensive-app

    This repo provides a starting point for building applications using SingleStore, Redpanda (by Vectorized), and the Go language. SingleStore is a scale-out relational database built for data-intensive workloads. Redpanda is a Kafka API compatible streaming platform for mission-critical workloads created by the team at Vectorized.

    Language:Go20603
  • loxxous/Behemoth-Rank-Coding

    Fast and Strong Burrows Wheeler Model

    Language:C++17502
  • bedbad/justpyplot

    Plot in NumPy arrays directly, overlay NumPy plots straight over video real-time, plot in Jupyter without a single loop

    Language:Python8110
  • lowrollr/turbozero_torch

    fast + parallel AlphaZero in PyTorch

    Language:Jupyter Notebook2101
  • toasti1973/TurboMath

    TurboMath is an all inline SIMD SSE C++ Math-Library for use in Games and Graphics Windows-Apps

    Language:C++2100
  • WolfHex/Mystic-xorstr

    A C++17 header-only library that provides compile-time string encryption and decryption using SIMD instructions

    Language:C++2101
  • akankshvashisth/autograd_v2

    C++ automatic differentiation library with no dependencies and arbitrary higher order derivatives, stand-alone, header only

    Language:C++1100
  • cosama/vasapy

    Vectorized Associative Arrays for Python

    Language:Python1220
  • DohaoSTR/kinopoisk-reviews-sentiment-analysis

    Sentiment analysis of kinopoisk (https://www.kinopoisk.ru/) reviews. For analysis i used: classification methods (random forest, svc, k-neighbors) neural networks (lstm, mlp).

    Language:Python120
  • Najib-Haq/Vectorized-CNN-from-scratch

    Vectorized CNN implementation from scratch using only numpy

    Language:Jupyter Notebook1300
  • CynthiaKoopman/Reinforcement-Learning

    Implementation of selected Reinforcement Learning Algorithms

    Language:Jupyter Notebook0201
  • Mandelbrot-Python

    LukasKristensen/Mandelbrot-Python

    Implementation and optimization of the Mandelbrot set for CE8 Numerical Scientific Computing Course. Features: Video generation of zooming and iterations.

    Language:Python0100
  • nhs000/machine_learning_coursera

    Source code for Machine Learning course taught by Andrew Ng (Vectorize when possible)

    Language:MATLAB0100
  • s-d-adams/vector_sort

    a header only SIMD optimized dual pivot (quick)sort implementation for int, float and double primitives.

    Language:C++0100
  • sampath9dasari/perceptron-vectorized

    A vectorized implementation of Perceptron from scratch

    Language:Jupyter Notebook0201
  • wooglesearch/design

    Design and concept art for Woogle

  • yortuc/nenet.js

    vectorized neural network library for browser and node

    Language:JavaScript00
  • The-Blockchain-Company/proto-ai-embedding

    Proto AI enables AI text search and analytic capabilities via OpenAI Embeddings API and Supabase Postgresql pgvectors extension. In this demo, there are several categories of data including Medicare compliance, PCI DSS compliance, Cardano specifications and more.

    Language:MDX01
  • VenkatKS/MachineLearning

    A machine learning (and linear algebra) library massively parallelized using OpenCL. Library contains collections of algorithms for regression, classification, and neural networks. In progress.

    Language:C++20