Repository Index

☁️ Build multimodal AI applications with cloud-native stack

• neural-search
• cloud-native
• deep-learning
• machine-learning

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

• bert
• sentence-encoding
• deep-learning
• clip-model

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

• inference
• gpu
• machine-learning
• deep-learning

Open-source inference platform for language, vision, embedding, reranking, image, audio, and video models. Deploy with multiple engines across heterogeneous hardware, from a laptop to a distributed cluster. Serve models through OpenAI-compatible APIs.

• pytorch
• llm
• artificial-intelligence
• machine-learning

Containers for machine learning

• containers
• cuda
• docker
• machine-learning

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

• model-serving
• mlops
• llmops
• generative-ai

Production infrastructure for machine learning at scale

• machine-learning
• infrastructure

Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference on your k8s — in pure Python with async/await, also other languages (rust, go and ts)

• machine-learning
• scale
• workflow
• mlops

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

• version-control
• experiment-manager
• version
• control

Statistical Machine Intelligence & Learning Engine

• machine-learning
• regression
• clustering
• manifold-learning

A flexible, high-performance serving system for machine learning models

• machine-learning
• deep-learning
• deep-neural-networks
• python

Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes

• knative
• machine-learning
• model-interpretability
• model-serving

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

• kubernetes
• machine-learning
• deployment
• serving

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

• federated-learning
• deep-learning
• distributed-training
• edge-ai

A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.

• ai
• api
• serving
• artificial-intelligence

Open-source inference server and production cluster for all the models your agent needs.

• embeddings
• vector-search
• data-pipeline
• deep-learning

🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.

• fastapi
• streamlit
• pydantic
• python

Hopsworks - Data-Intensive AI platform with a Feature Store

• feature-store
• aws
• azure
• data-science

A small, fast decision model, or system one model, for agentic workflows. Pick between options or rate on a scale faster than an LLM, with a calibrated confidence on every decision.

• ai
• machine-learning
• natural-language-understanding
• python

Detect the sentiment captured in short pieces of text

• docker-image
• machine-learning
• machine-learning-models
• ibm

Generate a summarized description of a body of text

• machine-learning
• docker-image
• deep-neural-networks
• tensorflow-models