A vectorized implementation of Perceptron from scratch

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

Implementation of selected Reinforcement Learning Algorithms

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.

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

Constructor for applying a unary function to each element in an input array.

Design and concept art for Woogle

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.

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

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

Vectorized Associative Arrays for Python

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

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

Vectorized CNN implementation from scratch using only numpy

SIMD optimized C++ mathematics library. (vector, matrix, quaternion, ray, triangle, sphere, AABB, etc.)

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

fast + parallel AlphaZero in PyTorch

📊 The Quant SDK for Python and Javascript. Written in Rust.

Fast and Strong Burrows Wheeler Model