439 Open source projects that are alternatives of or similar to Kmeans_pytorch

Paperspace API for python

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Memory efficient MAML using gradient checkpointing

Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted by KDD'2019 as an ORAL paper, in the Research Track.

Run Tensorflow and Keras with GPU support on Kubernetes

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

Window-Based Hybrid CPU/GPU Stream Processing Engine

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AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

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Python bindings for pyNVML and psutil library over network

Implementation of a few sorting algorithms in OpenCL

GGNN: State of the Art Graph-based GPU Nearest Neighbor Search

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A script I've made to make passing PCI devices to a VM less of a chore. I use it for single-gpu VM gaming and other PCI/LiveCD/PXE/VM/RawImage testing given the script's accessibility.

A .NET 5 library to run C# code in parallel on the GPU through DX12 and dynamically generated HLSL compute shaders, with the goal of making GPU computing easy to use for all .NET developers! 🚀

A practical guide to topic mining and interactive visualizations

Experiments with CUDA and Rust

⚡️ The fastest way to create pixel shaders.

An video camera,you can have realtime of a beautify,and change camera position,or turn on/off flash.Details see demo.

OpenCL-backed GPU Arrays

A GPU accelerated image and video processing framework built on Metal.

R interface to Google Cloud Machine Learning Engine

The little simulator that could.

Concurrent CPU-GPU Programming using Task Models

Baking spline deformation to a texture then applying it to a mesh via a shader.

A high speed C++17 Vulkan game engine

Extract embedded VBIOS from (almost) any BIOS Update

GPU Javascript Library for Machine Learning

A C++ GPU Computing Library for OpenCL

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

GPU Accelerated t-SNE for CUDA with Python bindings

Live on-demand transcoding in go using ffmpeg. Also with NVIDIA GPU hardware acceleration.

NPlusMiner + GUI | NVIDIA/AMD/CPU miner | AI | Autoupdate | MultiRig remote management

A simple dashboard for NVIDIA GPU

CUDA integration for Python, plus shiny features

Tests and benchmarks for cudnn (and in the future, other nvidia libraries)

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Real-time software rasterizer using compute shaders, including vertex processing stage (IA and vertex shaders), bin rasterization, tile rasterization (coarse rasterization), and pixel rasterization (fine rasterization, which calls the pixel shaders).

OptiX Path Tracer

Vulkan Quake port based on QuakeSpasm

Some CUDA design patterns and a bit of template magic for CUDA

Convert any classification model or architecture trained in keras to an object detection model

A tiny GPU raytracer, using Zig and WebGPU

Alacritty is a modern terminal emulator that comes with sensible defaults, but allows for extensive configuration. By integrating with other applications, rather than reimplementing their functionality, it manages to provide a flexible set of features with high performance. The supported platforms currently consist of BSD, Linux, macOS and Windows.

VK driver for the Raspberry Pi (Broadcom Videocore IV)

Automatic GPU, TPU, FPGA, Xeon Phi, Multithreaded, Distributed, etc. offloading for scientific machine learning (SciML) and differential equations

Hidden miner builder

Cooperative primitives for CUDA C++.

Multi-device OpenCL kernel load balancer and pipeliner API for C#. Uses shared-distributed memory model to keep GPUs updated fast while using same kernel on all devices(for simplicity).

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A lightweight web dashboard for monitoring GPU usage

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The dependency-aware, high-performance aardvark rendering engine. This repo is part of aardvark - an open-source platform for visual computing, real-time graphics and visualization.

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

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Gradient Boosting powered by GPU(NVIDIA CUDA)

CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.