vectorized neural network library for browser and node
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Updated
Apr 19, 2017 - JavaScript
vectorized neural network library for browser and node
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 header only SIMD optimized dual pivot (quick)sort implementation for int, float and double primitives.
Source code for Machine Learning course taught by Andrew Ng (Vectorize when possible)
Fast and Strong Burrows Wheeler Model
A vectorized implementation of Perceptron from scratch
Vectorized Associative Arrays for Python
Implementation of selected Reinforcement Learning Algorithms
TurboMath is an all inline SIMD SSE C++ Math-Library for use in Games and Graphics Windows-Apps
heavily vectorized c++17 compile time string encryption.
Vectorized CNN implementation from scratch using only numpy
Implementation and optimization of the Mandelbrot set for CE8 Numerical Scientific Computing Course. Features: Video generation of zooming and iterations.
[CVPR 2023] vMAP: Vectorised Object Mapping for Neural Field SLAM
World's fastest log analysis: λ + SQL + JSON + S3
fast + parallel AlphaZero in PyTorch
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.
C++ automatic differentiation library with no dependencies and arbitrary higher order derivatives, stand-alone, header only
Scalable package delivery logistics simulator built using SingleStore and Vectorized Redpanda
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