src-d / kmcudaLinks
Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA
☆830Updated 2 years ago
Alternatives and similar repositories for kmcuda
Users that are interested in kmcuda are comparing it to the libraries listed below
Sorting:
- A CUDA implementation of the k-means clustering algorithm☆252Updated 12 years ago
- ThunderSVM: A Fast SVM Library on GPUs and CPUs☆1,600Updated last year
- Barnes-Hut t-SNE☆901Updated 3 years ago
- fast library for ANN search and KNN graph construction☆294Updated 7 years ago
- Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubi…☆407Updated 4 years ago
- ATen: A TENsor library for C++11☆698Updated 5 years ago
- ☆714Updated 2 years ago
- FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)☆1,152Updated last year
- Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Pyth…☆567Updated 6 years ago
- Simple package that makes your generator work in background thread☆279Updated 3 years ago
- Open source implementation of "Spreading Vectors for Similarity Search"☆320Updated 3 years ago
- Training Very Deep Neural Networks Without Skip-Connections☆586Updated 7 years ago
- Tutorial for building a custom CUDA function for Pytorch☆517Updated 6 years ago
- Pytorch C++ Library☆367Updated 7 years ago
- Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" (http://arxiv.org/abs/…☆395Updated 6 years ago
- Submanifold sparse convolutional networks☆2,121Updated last year
- PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations☆1,068Updated 3 weeks ago
- PyTorch Extension Library of Optimized Scatter Operations☆1,653Updated 3 weeks ago
- 3.8% and 18.3% on CIFAR-10 and CIFAR-100☆1,308Updated 5 years ago
- kmeans clustering with multi-GPU capabilities☆119Updated 2 years ago
- A language-agnostic interface to TensorBoard☆779Updated 7 years ago
- Deep Networks with Stochastic Depth☆481Updated 6 years ago
- Python module for performing basic dense linear algebra computations on the GPU using CUDA.☆608Updated 5 years ago
- Log TensorBoard events without touching TensorFlow☆627Updated 2 years ago
- PyTorch layer-by-layer model profiler☆607Updated 4 years ago
- Programmable CUDA/C++ GPU Graph Analytics☆1,030Updated 10 months ago
- PyTorch and Tensorflow functional model definitions☆587Updated 7 years ago
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,104Updated last week
- PyTorch Extension Library of Optimized Graph Cluster Algorithms☆876Updated 3 weeks ago
- A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory☆296Updated 6 years ago