cuDF - GPU DataFrame Library
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- rapids
- cudf
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A highly efficient implementation of Gaussian Processes in PyTorch
- pytorch
- gaussian-processes
- gpu-acceleration
Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, & Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, & SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops 🦖
Beautiful, open source, WebGPU-based charting library
- chart-library
- charting-library
- data-analysis
- webgpu
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
- graph
- visualization
- gpu
- graphistry
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
⚡ Datoviz: high-performance GPU rendering for scientific data visualization
- visualization
- graphics
- data-visualization
- scientific-visualization
High-performance Bayesian Data Analysis on the GPU in Clojure
- clojure
- bayesian-inference
- bayesian-data-analysis
- gpu-computing
Open source math and physics engine that executes MATLAB-syntax code. Features a modern compiler, automatic GPU acceleration for large calculations, and support for math on geometry / FEA calculations.
- matlab
- rust
- jit-compiler
- linear-algebra
Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.