Labeling Open Source Projects

Label Studio is a multi-type data labeling and annotation tool with standardized output format

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

A system for quickly generating training data with weak supervision

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

A curated list of awesome data labeling tools

Free to use online tool for labelling photos. https://makesense.ai

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2/2.1+SAM3), MobileSAM!!

Database system for AI-powered apps

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Labeling tool with SAM(segment anything model),supports SAM, SAM2, SAM3, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

Web labeling tool for bitmap images and point clouds

The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2

A neural network model for Chinese named entity recognition

Explore example custom labeling apps built with Labelbox SDK

In-depth tutorials for implementing deep learning models on your own with PyTorch.

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

Durable Rules Engine

A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

📁 Explorer for coc.nvim

A simple tool for labeling object bounding boxes in images

To speedup and simplify image labeling/ annotation process with multiple supported formats.

🔧 A curated list of awesome dataset tools

Advances in Financial Machine Learning

A lightweight tool for labeling 3D bounding boxes in point clouds.

My awesome point cloud labeling tool

The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.

The BiLSTM-CRF model implementation in Tensorflow, for sequence labeling tasks.

GUI for marking bounded boxes of objects in images for training neural network YOLO

Scalabel: A versatile web-based visual data annotation tool

Sloth is a tool for labeling image and video data for computer vision research.

A set of tools to use in Microsoft Azure Form Recognizer and OCR services.

An Integrated Experimental Platform for time series data anomaly detection.

A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

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

Deep networks for Earth Observation

LSTM-CRF in PyTorch

Snorkel MeTaL: A framework for training models with multi-task weak supervision

Make drawing and labeling bounding boxes a piece of cake

A collection of tutorials for Snorkel

A neural network architecture for NLP tasks, using cython for fast performance. Currently, it can perform POS tagging, SRL and dependency parsing.

Video/Image Labeling and Annotation Tool

Voice Activity Detection based on Deep Learning & TensorFlow

Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling

序列化标注工具，基于PyTorch实现BLSTM-CNN-CRF模型，CoNLL 2003 English NER测试集F1值为91.10%（word and char feature）。

Web application for image labeling and segmentation

Interfaces for Python

Code and pre-trained model for: Deep Semantic Role Labeling: What Works and What's Next

:speedboat: Label data at scale. Fun and precision included.

Run a Jupyter Notebook to detect, track, and count cars in a video using Maximo Visual Insights (formerly PowerAI Vision) and OpenCV

Unity's privacy-preserving human-centric synthetic data generator

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。