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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

RunThisLLM provides machine-learning models, research, training resources, or evaluation tools.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Stanford CS336: Language Modeling from Scratch provides AI-assisted learning, courses, tutorials, or study support.

TeamoRouter provides machine-learning models, research, training resources, or evaluation tools.

TensorZero builds open-source tools for production-grade LLM applications: LLM gateway, observability, optimization, evaluations, and experimentation.

Vast.ai provides machine-learning models, research, training resources, or evaluation tools.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

A machine learning / bayesian inference assigning attributes to objects.

Creates or edits images with generative models and visual controls.

Agenta supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Computationally efficient procedures for regularized estimation with the semiparametric additive hazards regression model.

Helps teams build, deploy, observe or operate machine-learning systems.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Open-source Python library enabling ML model inspection and interpretation.

Amadeus Code supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

MLOps in a notebook - uncover insights, surface problems, monitor, and fine tune your models.

ArtificialStudio helps build, test, automate, or manage AI agents, prompts, models, and API workflows.

Drop-in AsyncOpenAI replacement that transparently batches requests via the Batch API for cheaper LLM inference.

Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis).