Labelbox is the fastest way to annotate data to build and ship artificial intelligence applications

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Deep Learningrecognitiontoolscomputer-visiondeep-learningimage-annotationannotationtensorflowdetectionimagenetimage-classificationlabelingimage-segmentationbounding-boxesannotation-toolboundingboxim
Overview

Labelbox

Labelbox is the fastest way to annotate data to build and ship artificial intelligence applications. Use this github repository to help you set up a Custom Editor in Labelbox.

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labelbox
Training data platform
labelbox
GitHub Repository https://www.labelbox.com
Algorithms for outlier, adversarial and drift detection

Alibi Detect is an open source Python library focused on outlier, adversarial and drift detection. The package aims to cover both online and offline d

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Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)

Junction Tree Variational Autoencoder for Molecular Graph Generation Official implementation of our Junction Tree Variational Autoencoder https://arxi

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Official Implementation of HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation

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Lukas Hoyer 149 Dec 28, 2022
PyTorch implementation for NED. It can be used to manipulate the facial emotions of actors in videos based on emotion labels or reference styles.

Neural Emotion Director (NED) - Official Pytorch Implementation Example video of facial emotion manipulation while retaining the original mouth motion

Foivos Paraperas 89 Dec 23, 2022
Database Reasoning Over Text project for ACL paper

Database Reasoning over Text This repository contains the code for the Database Reasoning Over Text paper, to appear at ACL2021. Work is performed in

Facebook Research 320 Dec 12, 2022
Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"

Subg-Con Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning (Jiao et al., ICDM 2020): https://arxiv.org/abs/2009.10273 Over

34 Jul 06, 2022
Codecov coverage standard for Python

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Codecov 10 Nov 04, 2022
The implementation our EMNLP 2021 paper "Enhanced Language Representation with Label Knowledge for Span Extraction".

LEAR The implementation our EMNLP 2021 paper "Enhanced Language Representation with Label Knowledge for Span Extraction". See below for an overview of

杨攀 93 Jan 07, 2023
This repository contains the scripts for downloading and validating scripts for the documents

HC4: HLTCOE CLIR Common-Crawl Collection This repository contains the scripts for downloading and validating scripts for the documents. Document ids,

JHU Human Language Technology Center of Excellence 6 Jun 07, 2022
A simple algorithm for extracting tree height in sparse scene from point cloud data.

TREE HEIGHT EXTRACTION IN SPARSE SCENES BASED ON UAV REMOTE SENSING This is the offical python implementation of the paper "Tree Height Extraction in

6 Oct 28, 2022
TensorFlow 2 AI/ML library wrapper for openFrameworks

ofxTensorFlow2 This is an openFrameworks addon for the TensorFlow 2 ML (Machine Learning) library

Center for Art and Media Karlsruhe 96 Dec 31, 2022
Styled Augmented Translation

SAT Style Augmented Translation Introduction By collecting high-quality data, we were able to train a model that outperforms Google Translate on 6 dif

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NR-GAN: Noise Robust Generative Adversarial Networks

Lexicon Enhanced Chinese Sequence Labeling Using BERT Adapter Code and checkpoints for the ACL2021 paper "Lexicon Enhanced Chinese Sequence Labelling

Takuhiro Kaneko 59 Dec 11, 2022
OptNet: Differentiable Optimization as a Layer in Neural Networks

OptNet: Differentiable Optimization as a Layer in Neural Networks This repository is by Brandon Amos and J. Zico Kolter and contains the PyTorch sourc

CMU Locus Lab 428 Dec 24, 2022
Official PyTorch implementation of "Improving Face Recognition with Large AgeGaps by Learning to Distinguish Children" (BMVC 2021)

Inter-Prototype (BMVC 2021): Official Project Webpage This repository provides the official PyTorch implementation of the following paper: Improving F

Jungsoo Lee 16 Jun 30, 2022
ML models implementation practice

Let's implement various ML algorithms with numpy/tf Vanilla Neural Network https://towardsdatascience.com/lets-code-a-neural-network-in-plain-numpy-ae

Jinsoo Heo 4 Jul 04, 2021
Companion repository to the paper accepted at the 4th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities

Transfer learning approach to bicycle sharing systems station location planning using OpenStreetMap Companion repository to the paper accepted at the

Politechnika Wrocławska - repozytorium dla informatyków 4 Oct 24, 2022
Implementation of "Debiasing Item-to-Item Recommendations With Small Annotated Datasets" (RecSys '20)

Debiasing Item-to-Item Recommendations With Small Annotated Datasets This is the code for our RecSys '20 paper. Other materials can be found here: Ful

Microsoft 34 Aug 10, 2022
This is a model made out of Neural Network specifically a Convolutional Neural Network model

This is a model made out of Neural Network specifically a Convolutional Neural Network model. This was done with a pre-built dataset from the tensorflow and keras packages. There are other alternativ

9 Oct 18, 2022
Context Axial Reverse Attention Network for Small Medical Objects Segmentation

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401 Dec 23, 2022