gpubootcampThis repository consists for gpu bootcamp material for HPC and AI
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ArrayfireArrayFire: a general purpose GPU library.
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ParenchymaAn extensible HPC framework for CUDA, OpenCL and native CPU.
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allgebraBase container for developing C++ and Fortran HPC applications
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OccaJIT Compilation for Multiple Architectures: C++, OpenMP, CUDA, HIP, OpenCL, Metal
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Training MaterialA collection of code examples as well as presentations for training purposes
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MatXAn efficient C++17 GPU numerical computing library with Python-like syntax
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Futhark💥💻💥 A data-parallel functional programming language
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monolishmonolish: MONOlithic LInear equation Solvers for Highly-parallel architecture
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OnemkloneAPI Math Kernel Library (oneMKL) Interfaces
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UmpireAn application-focused API for memory management on NUMA & GPU architectures
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Arrayfire PythonPython bindings for ArrayFire: A general purpose GPU library.
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cuda memtestFork of CUDA GPU memtest 👓
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Batch ShipyardSimplify HPC and Batch workloads on Azure
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ComputeA C++ GPU Computing Library for OpenCL
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ShenfunHigh performance computational platform in Python for the spectral Galerkin method
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Neural Style DockerA dockerized version of neural style transfer algorithms
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NumerNumeric Erlang - vector and matrix operations with CUDA. Heavily inspired by Pteracuda - https://github.com/kevsmith/pteracuda
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SimgridMIRROR of the SimGrid framework, for the simulation of distributed applications (Clouds, HPC, Grids, IoT and others). Most of the dev occurs on FramaGit.
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TranspyleHPC-oriented transpiler for C, C++, Cython, Fortran, OpenCL and Python.
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ThundersvmThunderSVM: A Fast SVM Library on GPUs and CPUs
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NyuziprocessorGPGPU microprocessor architecture
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PytorchPyTorch tutorials A to Z
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Fastaudio🔊 Audio and fastai v2
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PygraphistryPyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
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Pyvtreatvtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under a BSD-3-Clause license.
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Flask Tutorial这个项目已经很久很久了, 不推荐看, 不过倒是可以进群叨逼叨一下. 🚗 交流群:630398887
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DeepnetDeep.Net machine learning framework for F#
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PyathenajdbcPyAthenaJDBC is a Python DB API 2.0 (PEP 249) compliant wrapper for Amazon Athena JDBC driver.
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Phenomenon⚡️ A fast 2kB low-level WebGL API.
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Deeppipe2Deep Learning library using GPU(CUDA/cuBLAS)
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EmuThe write-once-run-anywhere GPGPU library for Rust
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Citro2dLibrary for drawing 2D graphics using the Nintendo 3DS's PICA200 GPU
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Booklibrary📚Simple Book library application written on flask with SQLite database.
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ShaderviewA library for simple shader programming
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Videngine3D graphics for iOS using Metal and Swift
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Rife Ncnn VulkanRIFE, Real-Time Intermediate Flow Estimation for Video Frame Interpolation implemented with ncnn library
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Tensorflow Gpu MacosxUnoffcial NVIDIA CUDA GPU support version of Google Tensorflow for MAC OSX
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GatelessgatesharpGateless Gate Sharp is an user-friendly yet extremely powerful open-source multi-algorithm miner for Windows operating systems.
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Singularity CriThe Singularity implementation of the Kubernetes Container Runtime Interface
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Bumblebee🚕 A spreadsheet-like data preparation web app that works over Optimus (pandas, dask, cuDF, dask-cuDF and PySpark)
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Glove As A Tensorflow Embedding LayerTaking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.
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FastaiR interface to fast.ai
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Waifu2x Ncnn Vulkanwaifu2x converter ncnn version, runs fast on intel / amd / nvidia GPU with vulkan
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NextflowA DSL for data-driven computational pipelines
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D2dlibA .NET library for hardware-accelerated, high performance, immediate mode rendering via Direct2D.
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MprReference implementation for "Massively Parallel Rendering of Complex Closed-Form Implicit Surfaces" (SIGGRAPH 2020)
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TensormsaDeep learning GUI frame work for enterprise
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CharmThe Charm++ parallel programming system. Visit https://charmplusplus.org/ for more information.
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