Popular GitHub Repositories for Always Active Tab

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. ?Docker-friendly.?Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

Enhanced ChatGPT Clone: Features Agents, DeepSeek, Anthropic, AWS, OpenAI, Assistants API, Azure, Groq, o1, GPT-4o, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting. Active project.

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Refine high-quality datasets and visual AI models

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

? New-Bing-Anywhere extension's source Always use Bing GPT-4

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

:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions

Everything you need about Active Learning (AL).

Bayesian active learning library for research and industrial usecases.

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Deep Active Learning

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

Pool-based active learning in Python

Active learning for systematic reviews

MONAI Label is an intelligent open source image labeling and learning tool.

Curated list of open source tooling for data-centric AI on unstructured data.

A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/passive, and many more. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.