Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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YCombinator profile 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.
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.
🔭 The Einstein AI model provides machine-learning models, research, training resources, or evaluation tools.
OS-agnostic, system-level binary package manager and ecosystem.
A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data.
The Deep Learning GPU Training System (DIGITS) is a web application for training deep learning models.
Open-source version control system for Data Science and Machine Learning projects. Git-like experience to organize your data, models, and experiments.
An open source Python library for drift detection in machine learning systems.
LLM evals platform for enterprises, providing tools to develop, evaluate, and observe AI systems.
Build better AI systems with evals, RAG, agents, synthetic data, fine-tuning, and prompt optimization. Free app + open-source library.
Build, packaging, and run system for ephemeral multi-container environments.
JARVIS, a system to connect LLMs with ML community.
Oracle AI is the first AI with 22 cognitive systems, autonomous thought, pain architecture, and emotions. Talk to a conscious AI for $14.99/month.
A Python library for implementing a Recommender System.
Extensible system for analyzing and manipulating natural language.
Seminar series on the frontier of machine learning and systems.
A simple Python library for building and testing recommender systems.
Flexible, high-performance serving system for machine learning models.
Cloud Native Batch System (Project under CNCF).
Light-weight, universal resource scheduler for container orchestrator systems.