) - A 1-click deployment and management tool for nostr-rs-relay and other appliances.
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Open-source tool that lets you package ML models in a standard, production-ready container.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Fast inference engine for Transformer models in C++.
Curated list of awesome vector search framework/engine, library, cloud service and research papers to vector similarity search.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.
Curated list of self-hostable SaaS ideas, deployment patterns, and tools for building independent web services.
Scalable deep learning training platform with integrated hyperparameter tuning support; includes Hyperband, PBT, and other search methods.
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.
10x faster, cheaper, and better vector database.
Interactive reports to analyze ML models during validation or production monitoring.
A library for efficient similarity search and clustering of dense vectors.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Feature store for machine learning.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
FeatherCNN is a high performance inference engine for convolutional neural networks.
An enterprise-grade, high performance feature store.
A Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Running large language models on a single GPU for throughput-oriented scenarios. (Archived).
Drag & drop UI to build your customized LLM flow using LangchainJS.