MLflow is an open source AI engineering platform for agents, LLMs, and ML models. It provides tools for debugging, evaluating, monitoring, and optimizing AI applications, including tracing, evaluation metrics, prompt management, an AI gateway, and an agent server. The project is released under the Apache 2.0 license.
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MLOps Community is a global community for machine learning engineers focused on MLOps. It facilitates knowledge sharing, real-world problem solving, networking, and career advancement through in-person meetups and conferences, virtual tech talks, podcasts, workshops, and masterclasses. It reports membership of over 70,000 to 90,000 ML practitioners.
A guide explaining MLOps concepts and how to build an MLOps environment. It covers theory and a tutorial using tools such as DVC, CML, IBM Watson Machine Learning, IBM Watson OpenScale, Terraform and Cookiecutter. The guide is described as modular, allowing tools to be swapped according to project preferences and use cases.
MLOps Now supports deploying, serving, monitoring, or operating AI and machine-learning systems.
MLReef is an open source ML-Ops platform for collaborating, reproducing and sharing machine learning work. The repository notes it is no longer supported or updated there, with work continuing on GitLab. Described sections include data management with versioned data hosting, containerized code repositories, experiment tracking and ML pipelines on Kubernetes, cloud or bare metal.
mlsysbook supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
ModelScope supports machine learning models, deployment, inspection, datasets, or AI development workflows.
ModelScope Finetuning supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.
Moz Local is a local SEO tool for managing business listings across directories. It offers auto-syncing of listings, listing health monitoring, Google Business Profile performance insights, and centralized review management from one dashboard. Paid plans include Lite, Preferred and Elite tiers, with larger deployments handled through enterprise custom pricing.
Msty describes private AI for individuals, teams and organizations, with four products connected as one system: Studio, a private AI workspace; Go, for agents; Nexus, a model gateway hub; and Stack, for organizing knowledge. Studio pricing lists a free tier and an Aurum plan billed yearly at $149 per user.
Murph.AI presents an enterprise platform for deploying organizations as a service, powered by ExOS on AWS Bedrock AgentCore. Agents are synthesized from behavioral DNA and governed by BOODA doctrine. OrgCloud is described as live, with plans available and deployment in minutes.
Self-hosted downloader and player for YouTube, Bilibili, Twitch, MissAV, and yt-dlp sites. Features channel subscriptions, auto-downloads, and local storage for media. Organize your library into collections with a sleek UI. Includes built-in Cloudflare Tunnel support for secure remote access without port forwarding. Docker-ready deployment.
MyVibe is a tool that uses AI to transform web projects into deployable applications. It allows users to upload, convert, and publish their web creations instantly, and is powered by ArcBlock.
NASGym is a proof-of-concept OpenAI Gym environment for Neural Architecture Search. It implements reinforcement learning steps for NAS and encodes networks using the Neural Structure Code from BlockQNN. A network is modeled as a list of NSCs, an action adds a layer, and the reward is accuracy after early-stop training. CIFAR-10 is the default dataset. The code and documentation may contain minor bugs.
NDScala is a Scala 3 library for N-dimensional and multi-dimensional arrays (tensors), described as comparable to NumPy ndarray or PyTorch Tensor, with type safety over shapes, array and axis labels and numeric data types. The repository includes materials on shape-safe neural network training and an ONNXScala component.
Easy-to-use library to boost AI inference.
NetBird is an open-source platform combining a WireGuard-based overlay network with Zero Trust Network Access for secure connectivity. It offers secure remote access, zero-configuration deployment, SSO with MFA, dynamic posture checks, centralized network management and detailed activity logging. The platform is positioned as a replacement for legacy VPNs, connecting remote users, hybrid-cloud and edge environments. Pricing lists Free, Team, Business and Enterprise plans.
Neuraxle is an AutoML library that supports hyperparameter tuning via pipeline abstractions to build clean deep learning production pipelines. Pipeline steps can have associated hyperparameter spaces, and the library is compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks, and MLOps environments.
new.space is a private AI tool that lets users control their Mac from their iOS device, Mac, or web browser. It supports running frontier AI models, local models, and Ollama on a Mac, and integrates the user's calendar, files, reminders and conversations in one interface. It offers local model deployment, bring-your-own API key options, and a no-logging proxy, and states that user data is never used for AI model training.
Nexusflow/NexusRaven-V2-13B is a 13-billion parameter language model available on Hugging Face. It is designed for zero-shot function calling and text generation, aiming to advance open-source artificial intelligence. The model can be used with libraries such as Transformers and provides instructions for deployment via inference providers, notebooks, and local applications.
Nimblebox supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Neural networks framework in pure C: training and inference, no dependencies.