a header only SIMD optimized dual pivot (quick)sort implementation for int, float and double primitives.
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Updated
May 18, 2018 - C++
a header only SIMD optimized dual pivot (quick)sort implementation for int, float and double primitives.
Implementation of selected Reinforcement Learning Algorithms
Source code for Machine Learning course taught by Andrew Ng (Vectorize when possible)
A machine learning (and linear algebra) library massively parallelized using OpenCL. Library contains collections of algorithms for regression, classification, and neural networks. In progress.
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 vectorized implementation of Perceptron from scratch
vectorized neural network library for browser and node
Implementation and optimization of the Mandelbrot set for CE8 Numerical Scientific Computing Course. Features: Video generation of zooming and iterations.
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 Associative Arrays for Python
Vectorized CNN implementation from scratch using only numpy
A C++17 header-only library that provides compile-time string encryption and decryption using SIMD instructions
C++ automatic differentiation library with no dependencies and arbitrary higher order derivatives, stand-alone, header only
fast + parallel AlphaZero in PyTorch
TurboMath is an all inline SIMD SSE C++ Math-Library for use in Games and Graphics Windows-Apps
Plot in NumPy arrays directly, overlay NumPy plots straight over video real-time, plot in Jupyter without a single loop
Fast and Strong Burrows Wheeler Model
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.
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