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followers: 14.0 following: 210.0 repos: 417.0 gists: 5.0

Name: Frank Chen

Type: User

Company: @DeepLearningOCRResearchers

Bio: Interested in machine learning, especially in deep learning Wechat:fq_Chen

Blog: https://www.linkedin.com/in/fuqiang-chen-a1b59b59/

Frank Chen's Projects

pixel_link

Implementation of our paper 'PixelLink: Detecting Scene Text via Instance Segmentation' in AAAI2018

pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

postgresql-async

Async, Netty based, database drivers for PostgreSQL and MySQL written in Scala

prednet

Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"

presto

Distributed SQL query engine for big data

product-nets

Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.

product-nets-distributed

distributed version of product-nets

pronet-core

A general-purpose network embedding framework: pair-wise representations optimization Network

pu-learning

Positive and unlabeled learning wrappers for scikit-learn

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pyfm

Factorization machines in python

pyod

A Python Toolkit for Scalable Outlier Detection (Anomaly Detection)

pythonml

Artificial neural network classes and tools in Python and TensorFlow.

pytorch_deepfm

DeepFM for CTR prediction problem （pytorch 1.0）

qcon2020-shanghai

QCon上海2020全球开发者大会PPT合集

quickstart

Angular 2 QuickStart - source from the documentation

r-fcn

R-FCN: Object Detection via Region-based Fully Convolutional Networks

rcnn

R-CNN: Regions with Convolutional Neural Network Features

reading-text-in-the-wild

A Keras/Theano implementation of "Reading Text in the Wild with Convolutional Neural Networks" by M Jaderberg et.al.

reading_group

DMALab's reading group slides and papers.

reading_text_in_the_wild_with_convolutional_neural_networks

Some codes for partly reproduction of the paper: Reading Text in the Wild with Convolutional Neural Networks

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

recommendation-systems-paperlist

Papers about recommendation systems that I am interested in

recommendersystem-paper

This repository includes some papers that I have read or which I think may be very interesting.

redis

Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, HyperLogLogs, Bitmaps.

rediscala

Non-blocking, Reactive Redis driver for Scala (with Sentinel support)

reference-apps

Spark reference applications

refresh

Ranking Sentences for Extractive Summarization with Reinforcement Learning

reinforcement-learning

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

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