canirun.ai
Can I Run AI Locally provides conversational AI for questions, tasks, and general assistance.
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locallyuncensored.com
Locally Uncensored provides machine-learning models, research, training resources, or evaluation tools.
github.com
Serve Llama 2 and other large language models locally from command line or through a browser interface.
github.com
Jan - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs.
github.com
Write maintainable, production-ready pipelines. Develop locally, deploy to the cloud.
github.com
A high-speed inference engine for deploying LLMs locally.
github.com
Open-source Python toolkit that tracks whether ChatGPT, Claude, and Perplexity cite your site. MIT license, runs locally on your credentials.
github.com
Self-updating repo wiki for AI coding agents that tracks project conversations, decisions, and context locally inside the repository.
github.com
Port of OpenAI's Whisper model in C/C++. It can be executed locally.
github.com
The simplest way to run an LLM locally. Supports tool calling and grammar constrained sampling.
github.com
A streamlit app to dialog with your second brain notes using OpenAI and ChromaDB locally.
e2b.dev
Deployed in few seconds via e2b supports software development with code generation, analysis, debugging, or documentation.
github.com
Eurybia monitors data and model drift over time and securizes model deployment with data validation.
github.com
A hands-on course to train and deploy a serverless API that predicts crypto prices.
github.com
A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
kubeflow.org
Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated.
minimaxi.com
Full-stack AI platform focused on multimodal agents and consumer-scale deployment.
github.com
A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.
github.com
An Easy-to-Use and High-Performance AI deployment framework.
github.com
Tutorial on Python time-series model deployment.
github.com
Suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.
github.com
A machine learning / bayesian inference assigning attributes to objects.
huggingface.co
ACE-Step 1.5 supports machine learning models, deployment, inspection, datasets, or AI development workflows.
agenta.ai
Agenta supports deploying, serving, monitoring, or operating AI and machine-learning systems.