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ParallelKMeans

Parallel K-Means Clustering Algorithm

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TMVAInference

Prototypes and ideas for TMVA SOFIE

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ad-handbook

Automatic Differentiation Handbook

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awesome-math

A curated list of awesome mathematics resources

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awesome-neural-ode

A collection of resources regarding the interplay between differential equations, dynamical systems, deep learning, control and optimization.

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buddy-benchmark

Benchmark Framework for Buddy Projects

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buddy-mlir

An MLIR-Based Ideas Landing Project

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clad

clad -- automatic differentiation for C/C++

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CppCoreGuidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

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root

Fork of ROOT repository

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cuda-samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

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CUDALibrarySamples

CUDA Library Samples

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deepmath-exo7

Deepmath : Mathématiques des réseaux de neurones

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diff-zoo

Differentiation for Hackers

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hardware_introduction

What scientific programmers must know about CPUs and RAM to write fast code.

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julia

The Julia Language: A fresh approach to technical computing.

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level-up-your-python

Course over intermediate Python

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llvm-project

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.

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onnx

Open standard for machine learning interoperability

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onnx-mlir

Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure

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optimize-gemm

Optimize single-threaded general matrix multplication

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perf-ninja

This is an online course where you can learn and master the skill of low-level performance analysis and tuning.

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pybind11_examples

Examples for the usage of "pybind11"

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roottest

The ROOT test suite

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TMVAFastInferencePrototype

TMVA Fast Inference Prototype

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xsimd

C++ wrappers for SIMD intrinsics and parallelized, optimized mathematical functions (SSE, AVX, NEON, AVX512)

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