Mlops

Use Argo Workflows to programmatically define, schedule, and execute workflows on Kubernetes.

The colibri-core NLP tool and library works with n-grams, skipgrams, and other linguistic patterns.

MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.

NVIDIA NIM offers APIs for trying models used to build enterprise generative AI applications.

Gymnasium provides a standard API for single agent reinforcement learning environments and related utilities.

systemprompt.io governs connected AI clients, models, and tools with access policies and audit on user infrastructure.

The abso TypeScript SDK calls more than 100 LLM providers through an OpenAI compatible format.

A library for efficient similarity search and clustering of dense vectors.

Weco describes itself as a research and product lab working on recursively self-improving AI.

Prime Intellect provides compute, training, inference, and sandbox tools for training and deploying machine learning models.

Tensorforce provides a TensorFlow library for applied reinforcement learning tasks.

Hugging Face Text Embeddings Inference serves text embedding models through an inference solution.

GPT-NeoX implements model parallel autoregressive transformers on GPUs using Megatron and DeepSpeed libraries.

The MLOps Community brings machine learning engineers together to share knowledge and discuss operational practice.

Guardrails AI provides a framework for building, governing, and deploying reliability controls for generative AI systems.

CoreWeave presents cloud infrastructure for AI and machine learning, with deployment and scaling for production models.

ClearML provides AI infrastructure for managing GPU clusters, machine learning workflows, and model deployment.

Glide provides an open model gateway for developing production generative AI applications.

Zilliz Cloud provides a managed vector data platform powered by Milvus, with real-time search and data operations across major cloud regions.

Ollama runs language models locally and provides tools to work with model files and APIs.

Omnifact provides team access to multiple AI models and pseudonymizes personal data before sending prompts to providers.

OpenRouter offers one API interface for finding and using hundreds of AI models across text, image, video, and audio providers.

Candle provides a minimalist Rust framework for machine learning model development and execution tasks.

ONNX-MLIR compiles ONNX models using MLIR compiler infrastructure for model deployment workflows.