Clearml AgentClearML Agent - ML-Ops made easy. ML-Ops scheduler & orchestration solution
Stars: ✭ 117 (-92.66%)
MprReference implementation for "Massively Parallel Rendering of Complex Closed-Form Implicit Surfaces" (SIGGRAPH 2020)
Stars: ✭ 84 (-94.73%)
Tensorflow Gpu MacosxUnoffcial NVIDIA CUDA GPU support version of Google Tensorflow for MAC OSX
Stars: ✭ 103 (-93.53%)
GonvmlNVIDIA Management Library (NVML) bindings for Go
Stars: ✭ 82 (-94.85%)
MetarecPyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)
Stars: ✭ 120 (-92.47%)
GraphmatGraphMat graph analytics framework
Stars: ✭ 81 (-94.92%)
Pytorch gbw lmPyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset
Stars: ✭ 101 (-93.66%)
Aardvark.renderingThe 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.
Stars: ✭ 79 (-95.04%)
Ds bowl 2018Kaggle Data Science Bowl 2018
Stars: ✭ 116 (-92.72%)
Hyperlearn50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster
Stars: ✭ 1,204 (-24.42%)
PygraphistryPyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
Stars: ✭ 1,365 (-14.31%)
Phenomenon Px⚡️ The fastest way to create pixel shaders.
Stars: ✭ 77 (-95.17%)
YudisplacementtransitionA GPU accelerated transition library makes use of displacement maps to create distortion effects.
Stars: ✭ 121 (-92.4%)
Cudart.jlJulia wrapper for CUDA runtime API
Stars: ✭ 75 (-95.29%)
RecommendersBest Practices on Recommendation Systems
Stars: ✭ 11,818 (+641.87%)
RecommendPython 3.6 下的推荐算法解析,尽量使用简单的语言剖析原理,相似度度量、协同过滤、矩阵分解等
Stars: ✭ 72 (-95.48%)
Tensorflow Object Detection TutorialThe purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch
Stars: ✭ 113 (-92.91%)
ParenchymaAn extensible HPC framework for CUDA, OpenCL and native CPU.
Stars: ✭ 71 (-95.54%)
Rpi Vk DriverVK driver for the Raspberry Pi (Broadcom Videocore IV)
Stars: ✭ 1,160 (-27.18%)
Gpu MotunuiGPU-Motunui is a path tracer that renders Disney Animation's Moana Island scene.
Stars: ✭ 120 (-92.47%)
Bash SnippetsA collection of small bash scripts for heavy terminal users
Stars: ✭ 8,558 (+437.23%)
NyuziprocessorGPGPU microprocessor architecture
Stars: ✭ 1,351 (-15.19%)
BlazingsqlBlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
Stars: ✭ 1,652 (+3.7%)
EnmfThis is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.
Stars: ✭ 96 (-93.97%)
VbiosfinderExtract embedded VBIOS from (almost) any BIOS Update
Stars: ✭ 64 (-95.98%)
OnemkloneAPI Math Kernel Library (oneMKL) Interfaces
Stars: ✭ 122 (-92.34%)
GgnnGGNN: State of the Art Graph-based GPU Nearest Neighbor Search
Stars: ✭ 63 (-96.05%)
NvfancontrolNVidia dynamic fan control for Linux and Windows
Stars: ✭ 93 (-94.16%)
AiopenAIOpen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。
Stars: ✭ 62 (-96.11%)
PymapdPython client for OmniSci GPU-accelerated SQL engine and analytics platform
Stars: ✭ 109 (-93.16%)
Collaborative Deep Learning For Recommender SystemsThe hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.
Stars: ✭ 60 (-96.23%)
NumerNumeric Erlang - vector and matrix operations with CUDA. Heavily inspired by Pteracuda - https://github.com/kevsmith/pteracuda
Stars: ✭ 91 (-94.29%)
MangakiSite de recommandation de mangas et d'anime
Stars: ✭ 118 (-92.59%)
Clarrays.jlOpenCL-backed GPU Arrays
Stars: ✭ 58 (-96.36%)
Deeppipe2Deep Learning library using GPU(CUDA/cuBLAS)
Stars: ✭ 90 (-94.35%)
Dain Vulkan GuiAI-Powered video interpolater (eg. 30fps -> 60fps) for Vulkan devices. Based on dain-ncnn-vulkan and ffmpeg
Stars: ✭ 58 (-96.36%)
PytorchTensors and Dynamic neural networks in Python with strong GPU acceleration
Stars: ✭ 52,811 (+3215.19%)
HeteroflowConcurrent CPU-GPU Programming using Task Models
Stars: ✭ 57 (-96.42%)
Citro2dLibrary for drawing 2D graphics using the Nintendo 3DS's PICA200 GPU
Stars: ✭ 88 (-94.48%)
PixelfarmFrom Vectors to (sub) Pixels, C# 2D Rendering Library
Stars: ✭ 120 (-92.47%)
Gpu Spline DeformationBaking spline deformation to a texture then applying it to a mesh via a shader.
Stars: ✭ 52 (-96.74%)
ShaderviewA library for simple shader programming
Stars: ✭ 87 (-94.54%)
Multiple SmiPython bindings for pyNVML and psutil library over network
Stars: ✭ 49 (-96.92%)
Phenomenon⚡️ A fast 2kB low-level WebGL API.
Stars: ✭ 1,551 (-2.64%)
GbrainGPU Javascript Library for Machine Learning
Stars: ✭ 48 (-96.99%)
Videngine3D graphics for iOS using Metal and Swift
Stars: ✭ 86 (-94.6%)
IvyThe templated deep learning framework, enabling framework-agnostic functions, layers and libraries.
Stars: ✭ 118 (-92.59%)
Qualia2.0Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.
Stars: ✭ 41 (-97.43%)
TensormsaDeep learning GUI frame work for enterprise
Stars: ✭ 107 (-93.28%)
GluonrankRanking made easy
Stars: ✭ 39 (-97.55%)
NvapiwrapperNvAPIWrapper is a .Net wrapper for NVIDIA public API, capable of managing all aspects of a display setup using NVIDIA GPUs
Stars: ✭ 105 (-93.41%)
Bumblebee🚕 A spreadsheet-like data preparation web app that works over Optimus (pandas, dask, cuDF, dask-cuDF and PySpark)
Stars: ✭ 86 (-94.6%)
Training MaterialA collection of code examples as well as presentations for training purposes
Stars: ✭ 85 (-94.66%)