lzjtt2017 Goto Github PK

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lzjtt2017's Projects

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nlp-python-deep-learning

NLP in Python with Deep Learning

nlptutorial-exercise

Exercises for nlptutorial(https://github.com/neubig/nlptutorial)

nrlpapers

Must-read papers on network representation learning (NRL) / network embedding (NE)

openqa

The source code of ACL 2018 paper "Denoising Distantly Supervised Open-Domain Question Answering".

oyster

In-progress implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

paragraph-vectors

:page_facing_up: A PyTorch implementation of Paragraph Vectors (doc2vec)

probabilistic-models

Collection of probabilistic models and inference algorithms

psl

The PSL software from the University of Maryland and the University of California Santa Cruz

pwc

Papers with code. Sorted by stars. Updated weekly.

pycluster

Python Clustering

python-100-days

Python - 100天从新手到大师

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch-tutorial-1

Build your neural network easy and fast

pytorchtext

1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)

pyts

A Python package for time series transformation and classification

rake-tutorial

A python implementation of the Rapid Automatic Keyword Extraction

rcpapers

Must-read papers on Machine Reading Comprehension

re-cnn-pytorch

PyTorch implementation of relation extraction via convolutional neural network with multi-size convolution kernels.

reco-papers

Classic papers and resources on recommendation

recurrent-entity-networks

TensorFlow implementation of "Tracking the World State with Recurrent Entity Networks".

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.