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bbox-label-tool

A simple tool for labeling object bounding boxes in images

boto3

AWS SDK for Python

conexp-ng

ConExp-NG is a simple GUI-centric tool for the study & research of Formal Concept Analysis (FCA) that allows you to create formal contexts, draw concept lattices and explore dependencies between attributes.

crowd_panda

this is a demo for crowdsourcing tasks which aims to identify and extract information units from PDF documents.

crowdfoto

CrowdSourcing image editing application

crowdtruth

Framework for crowdsourcing ground truth data, for training and evaluation of cognitive computing systems

dawid_skene

Implementation of the estimator for combining noisy observations from Dawid and Skene (1979)

deep-learning-seminar

The Deep Learning Seminar is for both graduate and undergraduate students that have special interests on Deep Learning (DL). In this seminar series, the students will collaborate in an intensive examination of topics related to understanding the basic concepts, models and algorithms of DL. The basic module of the Deep Learning seminar is designed as a discussion seminar. Emphasis will be on close reading and discussion of the assigned readings. Each volunteer participant will be responsible for leading the seminar discussion on assigned weeks. All participants are expected to come prepared to discuss and debate the readings each week. Participants will develop their understanding of the material through class presentations and discussions. An advanced module of source code review is designed for the participants that want to develop their skills on implementing existing DL models and designing new models. Emphasis will be on close review and discussion of the DL models. Each participant will be responsible for leading the seminar discussion on mathematic formulas, algorithms and the source code of the assigned model. In particular, this seminar will use Apache SINGA (http://singa.apache.org/), an open source DL platform for code review.

deep-learning-with-tensorflow-book

深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

effectivecrowd

Effective Crowd Annotation for Relation Extraction

fast-transx

An Efficient implementation of TransE and its extended models for Knowledge Representation Learning

get-another-label

Quality control code for estimating the quality of the workers in crowdsourcing environments

hello-world

this is my test for creating a new repository

kg2e

Code for Knowledge Graph Embedding including TransE, TransH, TransR, PTransE

kr-ear

Knowledge Representation Learning with Entities, Attributes and Relations

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

learn_dl

Deep learning algorithms source code for beginners

low-rank-logic

Code for Injecting Logical Background Knowledge into Embeddings for Relation Extraction

machine_learning_code_implementation

Mathematical derivation and pure Python code implementation of machine learning algorithms.

pdf-quench

A visual tool for cropping pdf files

pdfcropper

This a a PDFCropper which is used to crop/zone a rectangle area from a PDF page according to the coordinates of LowerLeft and UpperRight points.

pra

pybossa

PYBOSSA is the ultimate crowdsourcing framework (aka microtasking) to analyze or enrich data that can't be processed by machines alone.

relation_extraction

Knowledge Base Embedding

ructhesis

**人民大学LaTeX论文模板

sme

training-records

transe

troia-server

Quality Control API for Crowdsourcing Applications

word2vec-scala

Scala port of the word2vec toolkit.