Repository Index

LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.

• llama
• ai
• llm
• stable-diffusion

☁️ 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

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

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

A framework for efficient model inference with omni-modality models

• diffusion
• inference
• model-serving
• pytorch

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

All-in-One Development Tool based on PaddlePaddle

• classification
• segmentation
• deployment
• ocr

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

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

Translatedcube studio is an open-source, cloud-native, one-stop machine learning / deep learning / large model AI platform. It covers the full mlops algorithm pipeline, a computing power rental platform, online notebook development, drag-and-drop task flow pipeline orchestration, multi-machine multi-GPU distributed training, hyperparameter search, inference services with VGPU virtualization, edge computing, a labeling platform with automated labeling, SFT fine-tuning / reward model / reinforcement learning training for large models such as deepseek, multi-machine large model inference with vllm/ollama/mindie, a private knowledge base, and an AI model marketplace. It supports domestic Chinese CPUs/GPUs/NPUs and the Ascend ecosystem, supports RDMA, and supports distributed frameworks such as pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/ray/volcano.

• kubernetes
• inference
• mlops
• workflow

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

• kubernetes
• machine-learning
• deployment
• serving

TranslatedOffline translation model server with low resource consumption, fast speed, and private deployment capability.

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

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

Deep Learning Server and CLI for Torch and TensorRT

• deep-learning
• machine-learning
• caffe
• xgboost

Turn any computer or edge device into a command center for your computer vision projects.

• computer-vision
• inference-api
• inference-server
• vit

A unified orchestration layer for heterogeneous AI compute. It standardizes how to manage compute and run training and inference on GPU clouds, Kubernetes, VMs, or bare-metal clusters.

• machine-learning
• python
• gpu
• llms

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