qss2012 Goto Github PK

onlinebtm

Code for Online Biterm Topic Model (published in TKDE2014)

opendl

屹立深度之巅

overview-and-benchmark-of-traditional-and-deep-learning-models-in-text-classification

NLP tutorial

persuasion-comments-evaluation

piecewise-nvdm-emnlp-2017

Code to support the paper "Piecewise Latent Variables for Neural Variational Text Processing" for EMNLP 2017.

pivot-selection

pivot selection methods

planetoid

Semi-supervised learning with graph embeddings

plants_disease_detection

Ai Challenger 2018 Competitions 农作物病害检测

pnn.pytorch

PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html

polyvore

Code for ACM MM'17 paper "Learning Fashion Compatibility with Bidirectional LSTMs"

ppnp

PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank".

pref_learning

Collaborative Gaussian processes for preference learning

pydata-notebook

利用Python进行数据分析 第二版 (2017) 中文翻译笔记

pyfishervector

Python implementation for Image Classification based on GMM dictionaries and fisher vectors.

pygcn

Graph Convolutional Networks in PyTorch

python-topic-model

Implementation of various topic models

python_interview_question

关于python的面试题

pytorch-book

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

pytorch-handbook

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorchtext

[知乎看山杯](https://biendata.com/competition/zhihu/final-leaderboard/) init队解决方案

qa-snake

基于多搜索引擎和深度学习技术的自动问答

research

Where I put my code for papers that I write

retinanet_tensorflow_rotation

Focal Loss for Dense Rotation Object Detection

rgat

rgcnn

Regularized Graph CNN for Point Cloud Segmentation

ripplenet

A tensorflow implementation of RippleNet

rnn-speech-denoising

Recurrent neural network training for noise reduction in robust automatic speech recognition

saliencerank

SalienceRank keyphrase extraction algorithm

sdne

This is a implementation of SDNE (Structural Deep Network embedding)