BurnRate supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Deploy a ML inference service on a budget in less than 10 lines of code.
An open-source LLM gateway with routing, load balancing, guardrails, and observability for 1000+ models. opensource.
Open-source platform for high-performance ML model serving.
Run sandboxes, task queues, and custom model inference with ultrafast boot times, instant autoscaling, and a developer experience that just works.
Bayesian Inference Tools in Python.
Inference hosting for AI teams who ship fast and scale faster.
MLOps in a notebook - uncover insights, surface problems, monitor, and fine tune your models.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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.
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.
Agenta supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Yomu AI is the #1 AI writing tool for students. Write essays, papers, and theses in minutes, not hours. Try it free – no credit card required.
Free Course and Certification for building an end-to-end machine using W&B.
Blazing fast short-text-topic-modelling for Python.
System Designer - ML Systems provides AI-assisted learning, courses, tutorials, or study support.
· Quick start · Browse all templates.
Stanford CS336: Language Modeling from Scratch provides AI-assisted learning, courses, tutorials, or study support.
An educational resource designed to let anyone learn to become a skilled practitioner in deep reinforcement learning.
Supports teaching, studying or skills practice with AI-guided learning tools.
Statistical Machine Intelligence and Learning Engine.
My daily sufferings as a PhD student at Berkeley.