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30 search results found

Metaflow ⭐ 7,524

🚀 Build and manage real-life ML, AI, and data science projects with ease!

Training and serving large-scale neural networks with auto parallelization.

Awesome Tensor Compilers ⭐ 2,042

A list of awesome compiler projects and papers for tensor computation and deep learning.

Arraymancer ⭐ 1,177

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

Vectorious ⭐ 781

Linear algebra in TypeScript.

Graphics Processing Units Molecular Dynamics

A Clojure dataframe library that runs on Spark

Graphit ⭐ 261

GraphIt - A High-Performance Domain Specific Language for Graph Analytics

Metal Flash Attention ⭐ 252

Faster alternative to Metal Performance Shaders

Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python

The Books Making You Better ⭐ 169

A list of time-lasting classic books, which not only help you figure out how it works, but also grasp when it works and why it works in that way.

Torchquad ⭐ 142

Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX

Awesome Distributed Ml ⭐ 124

A curated list of awesome projects and papers for distributed training or inference

Mads.jl ⭐ 100

MADS: Model Analysis & Decision Support

NASOQ:Numerically Accurate Sparsity Oriented QP Solver

A Data-Centric Compiler for Machine Learning

Easydist ⭐ 55

Automated Parallelization System and Infrastructure for Multiple Ecosystems

core C++ library

Library for steering campaigns of simulations on supercomputers

RocketML Deep Neural Networks

Litemort ⭐ 36

A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.

Mhpc Natural Language Processing Lectures ⭐ 34

This is the second part of the Deep Learning Course for the Master in High-Performance Computing (SISSA/ICTP).)

Plinycompute ⭐ 27

A system for development of high-performance, data-intensive, distributed computing, applications, tools, and libraries.

Disaggregated Storage Solution

Autonfeat ⭐ 20

A High Performance Library for Time-Series Featurization.

Modeldeployment ⭐ 17

CRAN Task View: Model Deployment with R

Benchmarking the NatML machine learning runtime against other solutions in Unity Engine.

Benchmarking the NatML machine learning runtime against other solutions in Unity Engine.

Gpu Cuda Self Organising Maps ⭐ 7

🧠 💡 📈 A project based in High Performance Computing. This project was built using CUDA (Compute Unified Device Architecture), C++ (C Plus Plus), C, CMake and JetBrains CLion. The scenario of the project was a GPU-based implementation of the Self-Organising-Maps (S.O.M.) algorithm for Artificial Neural Networks (A.N.N.), with the support of CUDA (Compute Unified Device Architecture), using its offered parallel optimisations and tunings. The final goal of the project was to test the several GPU

Serverless Hpc ⭐ 5

A framework for using High Performance Computing applications as serverless functions. (FaaS)

Cuda Programming Tutorial ⭐ 5

Get started with CUDA programming

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