Updated 10 months ago

ck • Rank 19.4 • Science 77%

Collective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to facilitate collaborative and reproducible research and to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf methodology and benchmarks

Updated 10 months ago

active-learning-as-a-service • Rank 6.8 • Science 77%

A scalable & efficient active learning/data selection system for everyone.

Updated 10 months ago

bentoml • Rank 26.1 • Science 54%

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

Updated 10 months ago

tensorzero • Rank 23.4 • Science 54%

TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentation.

Updated 10 months ago

deepchecks • Rank 22.8 • Science 54%

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

Updated 10 months ago

mosec • Rank 20.4 • Science 54%

A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

Updated 10 months ago

kedro • Rank 14.8 • Science 54%

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

Updated 10 months ago

weaviate • Rank 24.2 • Science 44%

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

Updated 10 months ago

openllm • Rank 22.1 • Science 44%

Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.

Updated 10 months ago

https://github.com/lancedb/lance • Rank 28.1 • Science 36%

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

Updated 10 months ago

deeplake • Rank 25.6 • Science 36%

Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

Updated 9 months ago

https://github.com/deepset-ai/haystack-core-integrations • Rank 22.9 • Science 36%

Additional packages (components, document stores and the likes) to extend the capabilities of Haystack

Updated 10 months ago

state-of-open-source-ai • Rank 10.3 • Science 44%

:closed_book: Clarity in the current fast-paced mess of Open Source innovation

Updated 10 months ago

https://github.com/apache/hamilton • Rank 12.1 • Science 36%

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Updated 15 days ago

mlflow • Rank 35.5 • Science 10%

The open source developer platform to build AI/LLM applications and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.

Updated 10 months ago

monai-deploy • Rank 8.0 • Science 36%

MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.

Updated 10 months ago

vetiver • Rank 15.1 • Science 26%

Version, share, deploy, and monitor models.

Updated 10 months ago

https://github.com/thebabylonai/babylog • Rank 9.1 • Science 23%

A lightweight logger for machine learning teams to log images and predictions in production.

Updated 10 months ago

https://github.com/thenewflesh/hidebound • Rank 5.7 • Science 26%

Hidebound is massive, distributed digital asset management system for ML pipelines on Kubernetes

Updated 10 months ago

https://github.com/neptune-ai/neptune-notebooks • Rank 14.9 • Science 13%

📚 Jupyter Notebooks extension for versioning, managing and sharing notebook checkpoints in your machine learning and data science projects.

Updated 10 months ago

https://github.com/ploomber/soorgeon • Rank 14.4 • Science 13%

Convert monolithic Jupyter notebooks 📙 into maintainable Ploomber pipelines. 📊

Updated 10 months ago

https://github.com/whylabs/whylogs • Rank 13.4 • Science 13%

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

Updated 10 months ago

https://github.com/bentoml/clip-api-service • Rank 9.2 • Science 13%

CLIP as a service - Embed image and sentences, object recognition, visual reasoning, image classification and reverse image search

Updated 10 months ago

https://github.com/agnostiqhq/covalent-cloud-github-workflow • Rank 3.2 • Science 13%

Template for integrating Covalent Cloud's high-performance computing capabilities into GitHub Workflows

Updated 10 months ago

trustpy-tools • Science 44%

TrustPy is a production-ready Python package purpose-built for MLOps pipelines—enabling automated, interpretable analysis of model trustworthiness and predictive reliability before deployment. Available via Conda-Forge and PyPI, with full CI/CD integration and seamless compatibility across modern ML stacks.

Updated 10 months ago

https://github.com/awslabs/aiops-modules • Science 26%

AIOps modules is a collection of reusable Infrastructure as Code (IaC) modules for Machine Learning (ML), Foundation Models (FM), Large Language Models (LLM) and GenAI development and operations on AWS

Updated 10 months ago

deeptsf • Science 57%

The DeepTSF time series forecasting repository developed by EPU NTUA within the DeployAI project

Updated 10 months ago

csc-mlops • Science 44%

Framework for building ML apps

Updated 10 months ago

glide • Science 44%

🐦 A open blazing-fast simple model gateway for rapid development of production GenAI apps

Updated 10 months ago

https://github.com/adalkiran/distributed-inference • Science 13%

A project to demonstrate an approach to designing cross-language and distributed pipeline in deep learning/machine learning domain, using WebRTC and Redis Streams.

Updated 10 months ago

https://github.com/amr-yasser226/customer-churn-prediction • Science 26%

End-to-end customer churn prediction project: dataset preparation, experiments with scikit-learn, model tracking with MLflow, data versioning (DVC), CI/CD, and deployment examples.

Updated 10 months ago

https://github.com/amilworks/argocd-demo • Science 13%

Guide to Getting Started with ArgoCD

Updated 10 months ago

naomi • Science 67%

NAOMI: Network AI Workflow Democratization

Updated 10 months ago

agilerl • Science 54%

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.

Updated 10 months ago

https://github.com/bentoml/transformers-nlp-service • Science 13%

Online Inference API for NLP Transformer models - summarization, text classification, sentiment analysis and more

Updated 10 months ago

https://github.com/bentoml/plugins • Science 13%

the swish knife to all things bentoml.