rdspring1 / MISSION
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches
☆13Updated 5 years ago
Alternatives and similar repositories for MISSION
Users that are interested in MISSION are comparing it to the libraries listed below
Sorting:
- fast kernel evaluation in high dimensions via hashing☆23Updated 4 years ago
- ☆19Updated 7 years ago
- Implementation of QuadSketch algorithm☆11Updated 2 years ago
- ☆11Updated 7 years ago
- BagMinHash - Minwise Hashing Algorithm for Weighted Sets☆26Updated 4 years ago
- ☆21Updated 6 years ago
- Sketching linear classifiers over data streams with the Weight-Median Sketch (SIGMOD 2018).☆38Updated 6 years ago
- Simple implementation of CoveringLSH☆10Updated 9 years ago
- A compressed adaptive optimizer for training large-scale deep learning models using PyTorch☆27Updated 5 years ago
- Cyclades☆28Updated 7 years ago
- A locality-sensitive hashing library☆46Updated 11 years ago
- Parameterless and Universal FInding of Nearest Neighbors☆60Updated 2 months ago
- Playing with arithmetic coding and RNNs☆22Updated 8 years ago
- To Index or Not to Index: Optimizing Exact Maximum Inner Product Search☆26Updated 6 years ago
- Rectified Factor Networks☆38Updated 5 years ago
- A fast high dimensional near neighbor search algorithm based on group testing and locality sensitive hashing☆23Updated last year
- Scalable inference for Correlated Topic Models☆30Updated 10 years ago
- ☆20Updated 7 years ago
- Implementation of fast exact k-means algorithms☆45Updated 5 years ago
- Implementation of many similarity join algorithms.☆15Updated 11 years ago
- SRS - Fast Approximate Nearest Neighbor Search in High Dimensional Euclidean Space With a Tiny Index☆55Updated 9 years ago
- ☆8Updated 6 years ago
- ☆16Updated 8 years ago
- Variational Bayes for NN in Torch7 (http://papers.nips.cc/paper/4329-practical-variational-inference-for-neural-networks.pdf)☆10Updated 10 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Implements the frequent directions algorithm for approximating matrices in streams☆32Updated 7 years ago
- Scalable and Sustainable Deep Learning via Randomized Hashing☆93Updated 3 years ago
- Weighted MinHash implementation on CUDA (multi-gpu).☆117Updated last year
- Sketching-based Distributed Matrix Computations for Machine Learning☆100Updated 7 years ago
- Proximal Asynchronous SAGA☆12Updated 7 years ago