YahooArchive / Optimal-LSHLinks
This package provides an efficient implementation of locality-sensitve hashing (LSH)
☆154Updated 13 years ago
Alternatives and similar repositories for Optimal-LSH
Users that are interested in Optimal-LSH are comparing it to the libraries listed below
Sorting:
- Python Approximate Nearest Neighbor Search in very high dimensional spaces with optimised indexing.☆215Updated 4 years ago
- ☆127Updated 9 years ago
- Cython implementation of k-MC2 and AFK-MC2 seeding☆205Updated 4 years ago
- Online Multi-Class LPBoost and Gradient Boosting☆68Updated 10 years ago
- CUDA Matrix Factorization Library with Alternating Least Square (ALS)☆180Updated 7 years ago
- Approximate Nearest Neighbor (ANN) search for high-dimensional data.☆95Updated 7 years ago
- Research code implementing inverted multiindex structure☆83Updated 11 years ago
- The best way to get your caffe served!☆68Updated 7 years ago
- PMLS-Caffe: Distributed Deep Learning Framework for Parallel ML System☆193Updated 7 years ago
- ☆76Updated 9 years ago
- Deep bidirectional recurrent net for opinion mining (code for EMNLP14 paper)☆80Updated 9 years ago
- doc and model for NDSB☆31Updated 10 years ago
- ☆34Updated 8 years ago
- Online Random Forests☆90Updated 10 years ago
- A framework for large-scale feature extraction, indexing and retrieval.☆60Updated 9 years ago
- IPython notebook for training multilayer LSTM and RNN networks with pycaffe☆53Updated 10 years ago
- Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface☆247Updated 5 years ago
- Lightweight MapReduce in python☆152Updated 12 years ago
- ☆88Updated 10 years ago
- ☆154Updated 8 years ago
- Recreating the Deep Residual Network in Lasagne☆116Updated 9 years ago
- MXNet Tutorial for NVidia GTC 2016.☆131Updated 9 years ago
- Coding example of DLIF tutorial☆66Updated 8 years ago
- Matrix library for CUDA in C++ and Python☆196Updated 8 years ago
- Benchmarking different LSTM libraries☆24Updated 9 years ago
- ☆36Updated 10 years ago
- Quick summary: This code implements a spectral (third order tensor decomposition) learning method for learning LDA topic model on Spark.☆105Updated 7 years ago
- Randomized embeddings for extreme learning☆24Updated 9 years ago
- Parallelizing word2vec in shared and distributed memory☆191Updated 2 years ago
- State-of-the-art method for large-scale ANN search as of Oct 2016. Presented at ECCV 16.☆74Updated 7 years ago