There are 1 repository under vectorized topic.
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.
heavily vectorized c++17 compile time string encryption.
World's fastest log analysis: λ + SQL + JSON + S3
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.
Apache Doris Website
Scalable package delivery logistics simulator built using SingleStore and Vectorized Redpanda
Self-managed thirdparty dependencies for Apache Doris
Backend for columnar, fully orchestrated HEP analyses with pure Python, law and order.
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.
Fast and Strong Burrows Wheeler Model
Plot in NumPy arrays directly, overlay NumPy plots straight over video real-time, plot in Jupyter without a single loop
fast + parallel AlphaZero in PyTorch
TurboMath is an all inline SIMD SSE C++ Math-Library for use in Games and Graphics Windows-Apps
C++ automatic differentiation library with no dependencies and arbitrary higher order derivatives, stand-alone, header only
Sentiment analysis of kinopoisk (https://www.kinopoisk.ru/) reviews. For analysis i used: classification methods (random forest, svc, k-neighbors) neural networks (lstm, mlp).
Vectorized CNN implementation from scratch using only numpy
Implementation of selected Reinforcement Learning Algorithms
Implementation and optimization of the Mandelbrot set for CE8 Numerical Scientific Computing Course. Features: Video generation of zooming and iterations.
Source code for Machine Learning course taught by Andrew Ng (Vectorize when possible)
a header only SIMD optimized dual pivot (quick)sort implementation for int, float and double primitives.
A vectorized implementation of Perceptron from scratch
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.
A machine learning (and linear algebra) library massively parallelized using OpenCL. Library contains collections of algorithms for regression, classification, and neural networks. In progress.
A C++17 header-only library that provides compile-time string encryption and decryption using SIMD instructions