idiap / eakmeansLinks
Implementation of fast exact k-means algorithms
☆45Updated 5 years ago
Alternatives and similar repositories for eakmeans
Users that are interested in eakmeans are comparing it to the libraries listed below
Sorting:
- Cython implementation of k-MC2 and AFK-MC2 seeding☆205Updated 3 years ago
- ☆19Updated 7 years ago
- Sketching-based Distributed Matrix Computations for Machine Learning☆100Updated 7 years ago
- LSH-GPU ANN package☆94Updated 6 years ago
- Cyclades☆28Updated 7 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- CUDA Matrix Factorization Library with Alternating Least Square (ALS)☆179Updated 7 years ago
- Code repository for the paper "Hyperparameter Optimization: A Spectral Approach" by Elad Hazan, Adam Klivans, Yang Yuan.☆173Updated 6 years ago
- Scalable and Sustainable Deep Learning via Randomized Hashing☆94Updated 3 years ago
- FRED simulator and associated paper☆26Updated 9 years ago
- AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpos…☆77Updated 5 years ago
- State-of-the-art method for large-scale ANN search as of Oct 2016. Presented at ECCV 16.☆75Updated 7 years ago
- Implements a message passing interface (MPI) wrapper that makes it easy to do massively parallel computations inside the Torch deep-learn…☆110Updated 6 years ago
- SRS - Fast Approximate Nearest Neighbor Search in High Dimensional Euclidean Space With a Tiny Index☆54Updated 10 years ago
- Online Random Forests☆89Updated 9 years ago
- MPI for Torch☆61Updated 8 years ago
- HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent☆33Updated 8 years ago
- Doubly Stochastic Neighbor Embedding on Spheres☆59Updated 5 years ago
- Tensorflow implementation of SGD with Coupled Adaptive Batch Size (CABS)☆44Updated 8 years ago
- TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"☆84Updated 8 years ago
- cache-friendly multithread matrix factorization☆90Updated 9 years ago
- DrMAD☆107Updated 7 years ago
- Implementing Google's DistBelief paper☆113Updated 2 years ago
- Multi-core CPU implementation of deep learning for 2D and 3D sliding window convolutional networks (ConvNets).☆94Updated 8 years ago
- CUDA Matrix Factorization Library with Stochastic Gradient Descent (SGD)☆71Updated 7 years ago
- PMLS-Caffe: Distributed Deep Learning Framework for Parallel ML System☆194Updated 7 years ago
- ☆140Updated 7 years ago
- Machine Learning Toolkit for Extreme Scale (MaTEx)☆111Updated 7 years ago
- Deep exponential family models in MXNet/Gluon. Layers o' latents 💤☆17Updated 7 years ago
- (Spring 2017) Assignment 2: GPU Executor☆63Updated 8 years ago