GPU-accelerated LIBSVM is a modification of the original LIBSVM that exploits the CUDA framework to significantly reduce processing time while producing identical results. The functionality and interface of LIBSVM remains the same. The modifications were done in the kernel computation, that is now performed using the GPU.
☆220Jun 19, 2017Updated 8 years ago
Alternatives and similar repositories for CUDA
Users that are interested in CUDA are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- full text search engine based on compact data structures☆13Jan 26, 2015Updated 11 years ago
- K-means feature learning on CIFAR-10 translated to Torch☆22Oct 22, 2014Updated 11 years ago
- LIBSVM -- A Library for Support Vector Machines☆4,704Dec 29, 2025Updated 4 months ago
- ThunderSVM: A Fast SVM Library on GPUs and CPUs☆1,623Apr 1, 2024Updated 2 years ago
- My fork of Alex Krizhevsky's cuda-convnet from 2013 where I added dropout, among other features.☆261Jan 23, 2015Updated 11 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Deep Learning Library for R☆12May 6, 2018Updated 8 years ago
- BLAS OpenCL implementation.☆17Apr 8, 2015Updated 11 years ago
- A Library for Ensemble Learning Using Support Vector Machines☆104May 21, 2014Updated 11 years ago
- The public website for AllenNLP.☆10Feb 3, 2022Updated 4 years ago
- Python module to train GMMs using CUDA☆21Mar 7, 2018Updated 8 years ago
- Graph-based Image Inpainting☆15Apr 18, 2020Updated 6 years ago
- ☆11May 26, 2016Updated 9 years ago
- LIBLINEAR -- A Library for Large Linear Classification☆1,047Dec 29, 2025Updated 4 months ago
- Strassen's Algorithm for Tensor Contraction☆15Jul 7, 2017Updated 8 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Crawlers for mostly news providers☆14Jan 19, 2019Updated 7 years ago
- A CUDA implementation of the k-means clustering algorithm☆253Jul 12, 2012Updated 13 years ago
- ICML 2013 experiments for "Consistency of Online Random Forests" using rftk☆20Apr 29, 2014Updated 12 years ago
- Parallel Gradient Boosting Decision Trees☆21Apr 22, 2016Updated 10 years ago
- Theano-based Alexnet☆228Aug 14, 2017Updated 8 years ago
- Building random forests on GPU☆206May 21, 2017Updated 8 years ago
- Caffe: a fast open framework for deep learning.☆14Aug 26, 2015Updated 10 years ago
- CUDA and OpenCL SVM training benchmark☆16Jul 20, 2017Updated 8 years ago
- Automatically exported from code.google.com/p/cuda-convnet2☆822Dec 3, 2015Updated 10 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Python interface to GPU-powered libraries☆988Oct 15, 2023Updated 2 years ago
- ☆17Dec 28, 2017Updated 8 years ago
- This example builds on the parallel-forall repo separate compilation example by adding CMake to it.☆17Nov 14, 2017Updated 8 years ago
- Public Domain random number generators for C++☆16Apr 11, 2015Updated 11 years ago
- This is a library of incremental image alingment algorithms using OpenCV☆21Oct 17, 2022Updated 3 years ago
- Learned Contextual Feature Reweighting for Image Geo-Localization (CVPR 2017)☆34Sep 1, 2018Updated 7 years ago
- ScatNetLight for fast classifications of signals via Scattering Networks☆15Apr 20, 2017Updated 9 years ago
- Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text…☆18Nov 4, 2017Updated 8 years ago
- [ECCV22] BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering (Jittor)☆11Sep 16, 2022Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆34Jan 19, 2017Updated 9 years ago
- A GPU implementation of Convolutional Neural Nets in C++☆505Oct 1, 2020Updated 5 years ago
- glfw-cxx is a C++, Object Oriented wrapper for GLFW3.☆13Apr 29, 2014Updated 12 years ago
- Deprecated☆337Mar 14, 2017Updated 9 years ago
- Software for the kaggle criteo challenge☆53Oct 5, 2014Updated 11 years ago
- Solution for AFSIS 2014 Competition☆19Nov 6, 2014Updated 11 years ago
- Averaged Stochastic Gradient Descent Classifiers☆42Jul 6, 2012Updated 13 years ago