junshuai-song Goto Github PK

ml

Sum up some frequently used machine learning algorithms and data analysis methods using Python language.

model-alan

对机器学习、概率图模型、主题模型领域一些模型进行实现，主要涉及一些近年高水平会议论文中提到的算法。

neural-combinatorial-optimization-rl-tensorflow

neural-dialogue-generation

plnlp

Pairwise learning neural link prediction for ogb link prediction

pointer-network-tensorflow

TensorFlow implementation of "Pointer Networks"

pointer-networks

An implementation of "Pointer Networks" in Tensorflow

pointer-networks-1

relationclassification-rl

Reinforcement Learning for Relation Classification from Noisy Data(AAAI2018)

rl_tsp

reinforcement learning for tsp by pointer network

sortpool2d

A new kind of pooling layer for faster and sharper convergence

tensorflow-examples

TensorFlow Tutorial and Examples for beginners

tensorflow-pointer-networks

TensorFlow implementation of Pointer Networks

tensorflow-pointer-networks-1

Pointer Networks in Tensorflow

textattack

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

transnets

universal-triggers

Universal Adversarial Triggers for Attacking and Analyzing NLP (EMNLP 2019)

uniwalk

We design a Monte Carlo based method, UniWalk, to enable the fast top-k SimRank computation over large undirected graphs. UniWalk directly locates the top-k similar vertices for any single source vertex u via approximately R sampling paths originating from u only. Related work has been published in ICDE 2017 ("UniWalk: Unidirectional Random Walk Based Scalable SimRank Computation over Large Graph"). Furthermore, in order to overcome the "rectification issue" in the original UniWalk, we design a path enumeration strategy to gain higher precision, which computes SimRank with the path probabilities instead of path frequencies in sampling. We call it the optimized UniWalk here, which is shown in the "UniWalk/src/simrank/SingleRandomDev.java" file(the basic UniWalk is shown in "UniWalk/src/simrank/SingleRandomWalk.java").