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keras_my

lab

A customisable 3D platform for agent-based AI research

lac

百度NLP：分词，词性标注，命名实体识别

lambdafm

Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank and Factorization Machines.

lcn-for-chinese-qa

AAAI19 - Lattice CNNs for Matching Based Chinese Question Answering

libn3l

LibN3L: A light-weight neural network package for natural language

libraries

A set of libraries to simplify network measurement tool creation.

librnn

libsvm-hadoop

longshorttermmemory

An implementation of Long Short Term Memory in Java.

lstm-attention

LSTM-Attention

lstm-rnn

long short-term memory for recursive neural network model

ltp

Language Technology Platform

machinelearning

This project contain some machine learning algrithm demo.Maybe the code is also useful to you.

markers_bert

matchpyramid-for-semantic-matching

A simple Keras implementation of Paper "Text Matching as Image Recognition"

maxent

Maximum Entropy Modeling Toolkit for Python and C++

meishan-code

memn2n

End-To-End Memory Networks in Theano

memn2n-tensorflow

End-To-End Memory Networks in Tensorflow

memnn

Memory Networks implementations

mgiza

A word alignment tool based on famous GIZA++, extended to support multi-threading, resume training and incremental training.

minerva

Minerva: a fast and flexible tool for deep learning. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run on CPU or GPU. Multi-GPU support is very easy. Please refer to the examples to see how multi-GPU setting is used.

models

Models built with TensorFlow

mshadow

Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning

multi-cell_lstm

Multi-cell compositional LSTM for NER domain adaptation, code for ACL 2020 paper

mxnet

Lightweight, Efficient and Flexible Distributed Deep Learning, for python, R, Julia, Go and more

mxnet.jl

MXNet Julia Package - flexible and efficient deep learning in Julia

namas

Neural Attention Model for Abstractive Summarization

nbsvm

Naive Bayes SVM for Sentiment Analysis