MiniMax AI helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
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Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
Mistral Studio helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.
Version and deploy your ML models following GitOps principles.
An open-source platform for tracking ML experiments, evaluating models and prompts, deploying models, and adding LLM observability. opensource.
MLOps Community supports deploying, serving, monitoring, or operating AI and machine-learning systems.
MLOps Guide supports deploying, serving, monitoring, or operating AI and machine-learning systems.
MLOps Now supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Open source MLOps platform that helps you collaborate, reproduce and share your ML work.
Framework that implements AutoML algorithms for model architecture search at scale.
Discover open source deep learning code and pretrained models.
OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others).
Private AI for individuals, teams, and organizations. Workspaces, agents, models, and knowledge—one connected system on your terms.
Creates or edits images with generative models and visual controls.
MyVibe supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Proof-of-concept OpenAI Gym environment for Neural Architecture Search (NAS).
Ncnn is a high-performance neural network inference framework optimized for the mobile platform.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Easy-to-use library to boost AI inference.
A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.
Nimblebox supports deploying, serving, monitoring, or operating AI and machine-learning systems.
An Easy-to-Use and High-Performance AI deployment framework.
Neural networks framework in pure C: training and inference, no dependencies.