The open source active learning toolkit to find failure modes in your computer vision models, prioritize data to label next, and drive data curation to improve model performance.

Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai

Always know what to expect from your data.

A swiss army knife for data processing!

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

Qdrant - Vector Search Engine and Database for the next generation of AI applications. Also available in the cloud https://qdrant.to/cloud

📝 Examples of experiment tracking, model registry, data versioning, and monitoring machine learning model training live in neptune.ai

Collaborative & Open-Source Quality Assurance for AI models 🧑‍🔧⚡️

NucliaDB is a cloud-native database for unstructured data and vector, text, paragraphs and relations indexing

Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations

Detecting silent model failure. NannyML estimates performance for regression and classification models using tabular data. It alerts you when and why it changed. It is the only open-source library capable of fully capturing the impact of data drift on performance.

Production Grade Nifi & Nifi Registry. Deploy for VM (Virtual Machine) with Terraform + Ansible, Helm & Helmfile for Kubernetes (EKS)

🔮 Build multimodal AI services via cloud native technologies · Neural Search · Generative AI · Cloud Native

Unified Model Serving Framework 🍱

Weaviate is an open source vector search engine that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients.

Breast cancer wisconsin (diagnostic) dataset 기반 MLOps 연습

✨ An open-source ML workflow orchestration system designed for reproducibility and collaboration

Personal cutting-edge technology lab

UpTrain is an open-source tool for machine learning model monitoring and refinement. Join our community: https://discord.gg/zYXDMktp9P

HI-ML toolbox for deep learning for medical imaging and Azure integration

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

✨ Open-source tool for data-centric NLP. Argilla helps domain experts and data teams to build better NLP datasets in less time.

A curated list of references for Amazon SageMaker

This cross-platform tool helps to make software projects more portable, modular, reusable and reproducible across continuously changing software, hardware and data. It is being developed by the open MLCommons taskforce to reduce development, benchmarking, optimization and deployment time for ML and AI systems.

Alternative to Parquet. 100x faster for random access, automatic versioning, optimized for computer vision, bioinformatics, spatial and ML data. Apache Arrow and DuckDB compatible.

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

Platform for a hybrid execution of ML workflows that transparently integrates local and remote runtimes

Feature Store for Machine Learning

a project for learning more about the zenml stack