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

Last update: Dec 29, 2022

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.

Labelbox platform

Documentation

Labelbox documentation - General knowledge base for the Labelbox app.
Custom editor SDK docs - Docs and samples for creating your own custom labeling interface.
Python SDK docs - Installation & authentication instructions, tutorials, examples, and a full reference for the Labelbox Python SDK.
GraphQL API docs - Authentication guide, examples, and a full reference for the Labelbox GraphQL API

Legal

Here are our Terms of Use, Privacy Notice, CCPA Notice, Cookie Notice, and Copyright Dispute Policy

Owner

labelbox

Training data platform

GitHub Repository https://www.labelbox.com

Universal Probability Distributions with Optimal Transport and Convex Optimization

Sylvester normalizing flows for variational inference Pytorch implementation of Sylvester normalizing flows, based on our paper: Sylvester normalizing

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Reimplementation of the paper `Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words? (ACL2020)`

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[CVPR 2021] "Multimodal Motion Prediction with Stacked Transformers": official code implementation and project page.

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Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)

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My implementation of Image Inpainting - A deep learning Inpainting model

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Neuron class provides LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neurons learned with Gradient descent or LeLevenberg–Marquardt algorithm

Neuron class provides LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neu

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LBBA-boosted WSOD

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Code for "Solving Graph-based Public Good Games with Tree Search and Imitation Learning"

Code for "Solving Graph-based Public Good Games with Tree Search and Imitation Learning" This is the code for the paper Solving Graph-based Public Goo

3 Dec 05, 2022

Python interface for SmartRF Sniffer 2 Firmware

#TI SmartRF Packet Sniffer 2 Python Interface TI Makes available a nice packet sniffer firmware, which interfaces to Wireshark. You can see this proje

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DeepAL: Deep Active Learning in Python

DeepAL: Deep Active Learning in Python Python implementations of the following active learning algorithms: Random Sampling Least Confidence [1] Margin

583 Jan 03, 2023

Relative Uncertainty Learning for Facial Expression Recognition

Relative Uncertainty Learning for Facial Expression Recognition The official implementation of the following paper at NeurIPS2021: Title: Relative Unc

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Codes and models of NeurIPS2021 paper - DominoSearch: Find layer-wise fine-grained N:M sparse schemes from dense neural networks

DominoSearch This is repository for codes and models of NeurIPS2021 paper - DominoSearch: Find layer-wise fine-grained N:M sparse schemes from dense n

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

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