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Search results for python gpu computing
gpu-computing
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47 search results found
Catboost
⭐
7,564
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Tf Quant Finance
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4,031
High-performance TensorFlow library for quantitative finance.
Lingvo
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2,776
Lingvo
Pycuda
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1,692
CUDA integration for Python, plus shiny features
Kompute
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1,418
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
Blendluxcore
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659
Blender Integration for LuxCore
Fast
⭐
386
A framework for high-performance medical image processing, neural network inference and visualization
Kernel_tuner
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236
Kernel Tuner
Prysm
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214
physical optics: integrated modeling, phase retrieval, segmented systems, polynomials and fitting, sequential raytracing...
Jaxfluids
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203
Differentiable Fluid Dynamics Package
Pymfem
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165
Python wrapper for MFEM
Gpu Utils
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122
A set of utilities for monitoring and customizing GPU performance
Goofit
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120
Code repository for the massively-parallel framework for maximum-likelihood fits, implemented in CUDA/OpenMP
Pysnn
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118
Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
Openclga
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105
A Python Library for Genetic Algorithm on OpenCL
Entangle
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89
A lightweight (serverless) native python parallel processing framework based on simple decorators and call graphs.
Saturn
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86
Saturn accelerates the training of large-scale deep learning models with a novel joint optimization approach.
Dpctl
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80
Python SYCL bindings and SYCL-based Python Array API library
Rtorch.old
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79
PyTorch bindings for R
Raspberrypi_tempmon
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74
System monitoring program for Raspberry pi single board computers written in Python 3.
Rtorch
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63
PyTorch bindings for R
Opensbli
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61
A framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures.
Tensordiffeq
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60
Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
Taichi Fluid
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57
A collection of CFD related resources for Taichi developers.
Pysdm
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47
Pythonic particle-based (super-droplet) warm-rain/aqueous-chemistry cloud microphysics package with box, parcel & 1D/2D prescribed-flow examples in Python, Julia and Matlab
Brian2genn
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42
Brian 2 frontend to the GeNN simulator
Gpucsl
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34
Constraint-based Causal Structure Learning on GPUs.
Fractional_differencing_gpu
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33
Rapid large-scale fractional differencing with RAPIDS to minimize memory loss while making a time series stationary. 6x-400x speed up over CPU implementation.
Newegg Shuffle
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31
Request based Python module(s) to help with the Newegg raffle.
Tensorexperiments
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31
Boilerplate for GPU-Accelerated TensorFlow and PyTorch code on M1 Macbook
Notebooks
⭐
30
A docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker tags:
Cualgo
⭐
24
A cross-platform Pytnon library for fundamental algorithm with GPU-accelerated computing
Cuvarbase
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24
Python library for fast time-series analysis on CUDA GPUs
Dpcluster
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21
Efficient Dirichlet process clustering
Disimpy
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21
Massively parallel Monte Carlo diffusion MR simulator written in Python.
Gpuparallel
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21
Joblib-like interface for parallel GPU computations (e.g. data preprocessing)
Taichi_pt
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20
progressive path tracer written in taichi
Spla
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19
An open-source generalized sparse linear algebra framework with vendor-agnostic GPUs accelerated computations
Xsuite
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17
Suite of python packages for multiparticle simulations of particle accelerators.
Visionxformer
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15
Vision Xformers
Matrixmultiplication
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14
Just a little playground, to test and try the benefits of Running Calculations on CPU or GPU with multiple threads.
Microsoft_cntk2.0_from_r
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9
Showcase: calling Microsoft Cognitive Toolkit (CNTK) 2.0 deep learning library fromwithin R using reticulate package and Azure DSVM.
Tensorforce Client
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9
TensorForce-Client: Running Parallelized Reinforcement Learning Experiments in the Cloud
Pla Reverse Gui
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8
PySide6-based GUI for Seed Cracking and RNG w/o CFW assistance in Pokemon: Legends Arceus
Xrayscanner
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8
Python 3 x-ray simulator
Image Captioning
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7
Image Captioning is the process of generating textual description of an image.It uses both Natural language Processing and Computer Vision to generate the captions.
Gpuschool2018
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7
Material for the July 2018 "Introduction to GPU programming" summer school at the University of Warwick
Deep Learning Thesis
⭐
6
Implementation of Thesis: Multimodal Emotion Recognition using Deep Learning Techniques: A novel system for real-world Emotion Recognition
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