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

Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.

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

Containers for machine learning

• containers
• cuda
• docker
• machine-learning

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

Statistical Machine Intelligence & Learning Engine

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

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

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

Dockerized OpenAI-compatible wrapper for Kokoro-82M text-to-speech w/multiplatform CPU, AMD, NVIDIA GPU PyTorch; multi-speaker, clone-tuning, caption timestamps, SSML, websockets, optional readalong web UI

• fastapi
• tts
• tts-api
• kokoro

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

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