Moozonian
Web Images Developer News Books Maps Shopping Moo-AI
Showing results for Random Vector
GitHub Repo https://github.com/harshitkgupta/Fake-Profile-Detection-using-ML

harshitkgupta/Fake-Profile-Detection-using-ML

Detect fake profiles in online social networks using Support Vector Machine, Neural Network and Random Forest
GitHub Repo https://github.com/lance-format/lance

lance-format/lance

Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
GitHub Repo https://github.com/TheQmaks/phantom-frida

TheQmaks/phantom-frida

Build anti-detection Frida server from source. ~90 patches covering 16 detection vectors, weekly auto-builds with random names.
GitHub Repo https://github.com/lemire/SIMDxorshift

lemire/SIMDxorshift

Fast random number generators: Vectorized (SIMD) version of xorshift128+
GitHub Repo https://github.com/tiskw/random-fourier-features

tiskw/random-fourier-features

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model
GitHub Repo https://github.com/darosh/gridy-avatars

darosh/gridy-avatars

SVG avatars generator
GitHub Repo https://github.com/m-i-n-a-r/randomix

m-i-n-a-r/randomix

🎲 An open source app to choose randomly between numbers, answers, options and so on
GitHub Repo https://github.com/lemire/simdpcg

lemire/simdpcg

Vectorized version of the PCG random number generator
GitHub Repo https://github.com/JuliaSIMD/VectorizedRNG.jl

JuliaSIMD/VectorizedRNG.jl

Vectorized uniform and normal random samplers.
GitHub Repo https://github.com/h2oai/h2o-3

h2oai/h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.