Topic: gpu-acceleration Goto Github
Some thing interesting about gpu-acceleration
Some thing interesting about gpu-acceleration
gpu-acceleration,R package for automation of machine learning, forecasting, model evaluation, and model interpretation
User: adrianantico
gpu-acceleration,🏃♂️💨 GPU accelerated STARK prover built on @arkworks-rs
User: andrewmilson
gpu-acceleration,Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.
User: baggepinnen
Home Page: https://baggepinnen.github.io/MonteCarloMeasurements.jl/stable/
gpu-acceleration,Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
User: basbuller
gpu-acceleration,TornadoVM: A practical and efficient heterogeneous programming framework for managed languages
Organization: beehive-lab
Home Page: https://www.tornadovm.org
gpu-acceleration,Automatic parallelization of Python/NumPy, C, and C++ codes on Linux and MacOSX
Organization: bh107
Home Page: http://www.bh107.org
gpu-acceleration,BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
Organization: blazingdb
Home Page: https://blazingsql.com
gpu-acceleration,The write-once-run-anywhere GPGPU library for Rust
User: calebwin
Home Page: https://calebwin.github.io/emu
gpu-acceleration,GPU-accelerated bio-image analysis focusing on 3D+t microscopy image data
Organization: clesperanto
Home Page: http://clesperanto.net
gpu-acceleration,Safe rust wrapper around CUDA toolkit
User: coreylowman
gpu-acceleration,Deep learning in Rust, with shape checked tensors and neural networks
User: coreylowman
gpu-acceleration,A highly efficient implementation of Gaussian Processes in PyTorch
Organization: cornellius-gp
gpu-acceleration,High Performance off-screen rendering (OSR) demo using CEF
Organization: daktronics
gpu-acceleration,A full pipeline AutoML tool for tabular data
Organization: datacanvasio
Home Page: https://hypergbm.readthedocs.io/
gpu-acceleration,Python library for Room Impulse Response (RIR) simulation with GPU acceleration
User: daviddiazguerra
gpu-acceleration,Powerful machine learning, accelerated by WebGPU
Organization: denosaurs
Home Page: https://deno.land/x/netsaur
gpu-acceleration,⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
User: dgasmith
Home Page: https://dgasmith.github.io/opt_einsum/
gpu-acceleration,A new approach to Emacs - Including TypeScript, Threading, Async I/O, and WebRender.
Organization: emacs-ng
Home Page: https://emacs-ng.github.io/emacs-ng/
gpu-acceleration,Android Camera that uses Enhanced image processing
User: eszdman
gpu-acceleration,Distributed Communication-Optimal Matrix-Matrix Multiplication Algorithm
Organization: eth-cscs
gpu-acceleration,Vulkan compute for people
User: glavnokoman
Home Page: https://glavnokoman.github.io/vuh
gpu-acceleration,GPU-accelerated Levenberg-Marquardt curve fitting in CUDA
User: gpufit
gpu-acceleration,Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environment for JavaScript TOTALLY in your browser, matrix operations with GPU acceleration, TeX support, data visualization and symbolic computation.
Organization: hedgehog-computing
Home Page: https://hlab.app
gpu-acceleration,OpenSource GPU, in Verilog, loosely based on RISC-V ISA
User: hughperkins
gpu-acceleration,Cross Platform Professional Procedural Terrain Generation & Texturing Tool
User: jaysmito101
Home Page: https://Jaysmito101.github.io/TerraForge3D/
gpu-acceleration,A Numerical Magnetic Resonance Imaging (MRI) Simulation Platform
User: leoliuf
Home Page: https://leoliuf.github.io/MRiLab/
gpu-acceleration,Deep learning toolkit-enabled VLSI placement
User: limbo018
gpu-acceleration,This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, sgemv, sgemm, etc. The performance of these kernels is basically at or near the theoretical limit.
User: liu-xiandong
gpu-acceleration,Fast Neural Machine Translation in C++ - development repository
Organization: marian-nmt
Home Page: https://marian-nmt.github.io
gpu-acceleration,MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment
Organization: megviirobot
gpu-acceleration,HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
Organization: nvidia-merlin
gpu-acceleration,NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.
Organization: nvidia-merlin
gpu-acceleration,CUDA C++ Core Libraries
Organization: nvidia
gpu-acceleration,Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
Organization: nvidia
Home Page: https://nvidia.github.io/GenerativeAIExamples/latest/index.html
gpu-acceleration,NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
Organization: nvidia
Home Page: https://developer.nvidia.com/tensorrt
gpu-acceleration,Sionna: An Open-Source Library for Next-Generation Physical Layer Research
Organization: nvlabs
Home Page: https://nvlabs.github.io/sionna
gpu-acceleration,GPU-accelerated Deep Learning on Windows 10 native
User: philferriere
gpu-acceleration,OpenCL is the most powerful programming language ever created. Yet the OpenCL C++ bindings are cumbersome and the code overhead prevents many people from getting started. I created this lightweight OpenCL-Wrapper to greatly simplify OpenCL software development with C++ while keeping functionality and performance.
User: projectphysx
gpu-acceleration,PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.
Organization: quiver-team
Home Page: https://torch-quiver.readthedocs.io/en/latest/
gpu-acceleration,A hardware-accelerated GPU terminal emulator focusing to run in desktops and browsers.
User: raphamorim
Home Page: https://raphamorim.io/rio
gpu-acceleration,A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
User: sergio0694
gpu-acceleration,Vahana VR & VideoStitch Studio: software to create immersive 360° VR video, live and in post-production
Organization: stitchem
gpu-acceleration,stdgpu: Efficient STL-like Data Structures on the GPU
User: stotko
Home Page: https://stotko.github.io/stdgpu/
gpu-acceleration,A WebGL accelerated JavaScript library for training and deploying ML models.
Organization: tensorflow
Home Page: https://js.tensorflow.org
gpu-acceleration,WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.
Organization: tensorflow
Home Page: https://js.tensorflow.org
gpu-acceleration,A high performance anime upscaler
User: tianzerl
gpu-acceleration,Node-based image editor with GPU-acceleration.
User: ttddee
gpu-acceleration,High-performance Bayesian Data Analysis on the GPU in Clojure
Organization: uncomplicate
gpu-acceleration,Clojure library for CUDA development
Organization: uncomplicate
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