hkxiron Goto Github PK

lshash

A fast Python implementation of locality sensitive hashing.

lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

lstm-char-cnn

LSTM language model with CNN over characters

lstm-crf

A (CNN+)RNN(LSTM/BiLSTM)+CRF model for sequence labelling.:smirk:

machine-learning-with-spark-second-edition

Machine Learning with Spark - Second Edition, by Packt

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

matchzoo

MatchZoo is a toolkit for text matching. It was developed to facilitate the designing, comparing, and sharing of deep text matching models.

ml_cia

公众号机器学习荐货情报局所有代码

mnist_fusion

models

Models and examples built with TensorFlow

models-1

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

name-entity-recognition

Lstm-crf,Lattice-CRF,bert-ner及近年ner相关论文follow

ncrfpp

NCRF++, an Open-source Neural Sequence Labeling Toolkit. It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components. (code for COLING/ACL 2018 paper)

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

neural-style

Torch implementation of neural style algorithm

neural-style-transfer-papers

:pencil2: Neural Style Transfer: A Review

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

neuroner

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

nlp

nlpcaffe

natural language processing with Caffe

nmt

TensorFlow Neural Machine Translation Tutorial

ntu-hsuantienlin-machinelearning

numpy-ml

Machine learning, in numpy

numpycnn

Convolutional neural network implementation using NumPy

oreilly-learning-tensorflow

pencil-python

python implementation of pencil drawing

pencildrawing

:pencil2: Pencil drawing production.

pointer-network-tensorflow

TensorFlow implementation of "Pointer Networks"

practice-of-machine-learning

code of scattered practices when studying "machine-learning".

pseudo-labelling---a-semi-supervised-learning-technique