colinsongf Goto Github PK

followers: 41.0 following: 71.0 repos: 2.8K gists: 0.0

Type: User

Company: data

Location: cd

colinsongf's Projects

responseedit-generation

Resources of our paper at AAAI-19 ``Response Generation by Context-aware Prototype Editing"

restaurantrecommender

restaurant recommending system featuring yelp academic dataset

restricted-boltzmann

My attempts to create a functioning Restricted Boltzmann Machine. End goal: design an RBM for implementation as a photonic circuit at Mabuchi Lab, Stanford.

restricted-boltzmann-machines

Restricted Boltzmann Machines in Python.

restricted-boltzmann-machines-1

Train an RBM to infer Bars-As-Stripes patterns and other dummy examples

resumesample

Resume template for Chinese programmers . 程序员简历模板系列。包括PHP程序员简历模板、iOS程序员简历模板、Android程序员简历模板、Web前端程序员简历模板、Java程序员简历模板、C/C++程序员简历模板、NodeJS程序员简历模板、架构师简历模板以及通用程序员简历模板

rethinking-lda

Code for "Rethinking LDA: Why Priors Matter" (Wallach et. al, 2010).

retraining_xgb_lgb

Show how to perform fast retraining with LightGBM in different business cases

retrofitting

Retrofitting Word Vectors to Semantic Lexicons

reubert-answer-filter

A question-answering chatbot, simply.

reuters-21578-classification

Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM

reveal-graph-embedding

Implementation of community-based graph embedding for user classification.

rf_regression_feature_selection

RF Regressor to determine most important features.

rgp

RGP -- Redis Graph via Python

rgr

a graph database built on Redis

richwordsegmentor

Neural word segmentation with rich pretraining, code for ACL 2017 paper

rite_zh-cn

Recognizing Inference in Text of Simplified Chinese

rl-chatbot

🤖 A movie-styled chatbot trained by deep reinforcement learning

rl-for-question-generation

This repository contains codes and models for the paper: Exploring Question-Specific Rewards for Generating Deep Questions (COLING 2020).

rl_knowledge_graph

code and docs for my EMNLP paper "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning"

rlqa

QA Using Reinforcement Learning

rlseq2seq

Deep Reinforcement Learning For Sequence to Sequence Models

rmmala_rbm

Work on binary-binary RBMs, employing the Riemann manifold Metropolis adjusted Langevin algorithm for sampling and regularized w/ a CAE type penalty.

rnn-cnn-match

Implementation of this paper: https://arxiv.org/pdf/1707.05409.pdf Neural Matching Models for question Retrieval and Next question Prediction in Conversation

rnn-nlu

A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling

rnn-rbm

RNN + RBM

rnn_ner

chinese word segmentation based on rnn

rnn_text_classify

Text classification using LSTM

rnnrbm

Experimenting with blocks trying to create an RNN-RBM

robograph

A graph-oriented algorithmic engine

colinsongf Goto Github PK

colinsongf's Projects

Recommend Projects

Recommend Topics

Recommend Org