🛠️ AI Tools Directory

Open-source deep learning framework developed by Meta AI, known for dynamic computation graphs and ease of use.

End-to-end open-source platform for machine learning developed by Google.

Autograd and XLA for high-performance machine learning research by Google.

Cross-platform, high-performance ML inference engine by Microsoft.

NVIDIA’s high-performance deep learning inference optimizer and runtime.

ML experiment tracking, model management, and collaboration platform.

Open-source platform for the ML lifecycle including experimentation, reproducibility, and deployment.

Platform to programmatically author, schedule, and monitor workflows.

Modern workflow orchestration platform for data engineering and ML.

PyTorch model serving framework for production deployment.

Inference serving software for deploying AI models at scale.

High-level neural networks API, now integrated with TensorFlow.

Flexible and efficient deep learning framework by Apache.

Intel’s toolkit for optimizing and deploying AI inference.

Lightweight solution for mobile and embedded devices.

Metadata store for MLOps, built for research and production teams.

ML platform for tracking, comparing, explaining and optimizing experiments.

Open-source MLOps platform for experiment management and orchestration.

Data orchestrator for machine learning, analytics, and ETL.

Transform data in your warehouse using SQL and software engineering practices.

Unified analytics engine for large-scale data processing.

Unified model serving framework for building production AI services.

MLOps framework to package, deploy, monitor and manage ML models on Kubernetes.

Automated machine learning platform

Automated machine learning toolkit based on scikit-learn

Open-source feature store for ML

Open-source ML monitoring and observability

Open-source data labeling tool

Distributed computing framework for ML

Parallel computing library for analytics

ML toolkit for Kubernetes

Human-friendly Python library for data science

Hyperparameter optimization tool

Scalable hyperparameter tuning

TensorFlow’s visualization toolkit

Data validation and documentation

Git for data and models

Model packaging and deployment