vseledkin Goto Github PK

lopq

Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.

lowrankcnn

Low-rank convolutional neural networks

lsh

Locality Sensitive Hashing for Go (Multi-probe LSH, LSH Forest, basic LSH)

lstm

lstm-char-cnn

LSTM language model with CNN over characters

lstm-char-cnn-tensorflow

LSTM language model with CNN over characters in TensorFlow

lstm-g-hardcoder

A C program that generates C/C++ headers with hardcoded LSTM-g networks for maximum platform-independent efficiency.

lstm.with.peepholes.torch

Torch LSTM implementation with peephole connections

lua-pprint

A pretty print library for torch and lua.

luigi

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

lv_groundhog

lwan

Experimental, scalable, high performance HTTP server

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

mafsa

Package mafsa implements Minimal Acyclic Finite State Automata in Go, essentially a high-speed, memory-efficient, Unicode-friendly set of strings.

mallet

manifold

A package to manipulate manifolds.

marisa-trie

Static memory-efficient Trie-like structures for Python (2.x and 3.x) based on marisa-trie C++ library.

memnn

Memory Networks implementations

mixmatch

mlea

MachineLearning EA

mobilenet

MobileNet build with Tensorflow

mobilenet_caffe

This is an implementation of "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"

models

Models built with TensorFlow

morph

Morphological analyzer for Russian language

mph

Minimal Perfect Hashing for Go

msgpack

Msgpack encoding for Golang.

multi-class_gan

musco-pytorch

MUSCO: Multi-Stage COmpression of neural networks

mystem

CGo bindings to Yandex.Mystem

naf

Experiments for the Neural Autoregressive Flows paper