colinsongf Goto Github PK

sim_questions_competition

DIAC2019基于Adversarial Attack的问题等价性判别比赛

simple_nlp_chinese

中文的word2vec以及doc2vec模型，使用维基百度的数据训练。供大家参考

simple_rbm

simple_tensorflow_serving

Generic and easy-to-use serving service for machine learning models

simplebayes

A memory-based, optional-persistence naïve bayesian text classifier.

simplekube

A simple way to bootstrap a Kubernetes cluster.

simplified-deeplearning

Simplified implementations of deep learning related works

simpsons-paradox

use Python to detect Simpson's paradox

simulated-unsupervised-tensorflow

TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"

single-feature-linear-regression

sioyek

Sioyek is a PDF viewer designed for reading research papers and technical books.

sippycup_nlp

SippyCup is a simple semantic parser, written in Python, created purely for didactic purposes.

skeleton-to-response

Code for NAACL19 paper "Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory"

sketchedit

SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches

sklearn-compiledtrees

Compiled Decision Trees for scikit-learn

sklearn-genetic

Genetic feature selection module for scikit-learn

sklearn-pandas

Pandas integration with sklearn

sklearn_tutorial

Materials for my scikit-learn tutorial

skll

SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.

skorch

A scikit-learn compatible neural network library that wraps pytorch

sky

:sunrise: next generation web crawling using machine intelligence

slizaa-opencypher-xtext

slow_feature_analysis

implementation of the SFA algorithm (http://www.scholarpedia.org/article/Slow_feature_analysis) for extracting slowly varying features from the environment of a bat, which performs random walk in a rectangular room

slr2

Python2.7 code for sparse linear regression tools and workflows, second version

slu

spoken language understanding using RNN

slu-lm_tf

Tensorflow implementation of joint modeling of SLU (intent & slot filling) and LM with RNNs.

slu_movie

Spoken Language Understanding

slu_rnn

RNN for Spoken Language Understanding

smae-sentiment-

This is the code for "Learning Sentiment Memories for Sentiment Modification without Parallel Data".

small-chinese-corpus

Some useful Chinese corpus datasets 中文语料小数据