Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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Updated
Nov 18, 2024 - Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Out-of-core graph processing on a single machine.
biglasso: Extending Lasso Model Fitting to Big Data in R
KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means
Python bindings to the libmf c++ repo for Matrix Factorization. libmf is fast, highly parallel, and can support factoring large matrices without holding them all in memory.
Source code of my master thesis on occlusion culling for (out-of-core) path tracing
Optimised multi-node MPI sorting algorithms in Julia
A fast, bare-bones C++14/17 reader for larger-than-memory PLY files
Easy out-of-core computing with nested data structures in Python as a drop-in replacement of dict
Toolkit library for supporting high-performance, scientific applications
BLOCKSET: Efficient out of core tree ensemble inference
Out-of-core pre-processing of big-ish electrophysiology data
TP1 Visualisation et compression "out-of-core" de soupes de triangles
Out-of-Core Indexed Triangle Mesh Partitioning
A submission for HUAWEI - 2020 DIGIX GLOBAL AI CHALLENGE
📈 About DataFrames powered by a ⚙️ multithreaded, 🚄 vectorized query engine, written in 🦀 Rust
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