Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
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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.
Scala Library/REPL for Machine Learning Research.
A toolkit for reproducible reinforcement learning research.
Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
Autograd and XLA for high-performance machine learning research.
Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
Collection of infrastructure and tools for research in neural network interpretability.
Helps find, analyze or synthesize information for research and knowledge discovery.
Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Helps find, analyze or synthesize information for research and knowledge discovery.
The lightweight PyTorch wrapper for high-performance AI research.
Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
Helps find, analyze or synthesize information for research and knowledge discovery.
Open-source self-hostable end-to-end LLMOps platform unifying tracing, evals, simulations, datasets, gateway, and guardrails.
A dataset format for creating, storing, and collaborating on AI datasets of any size.
Open-source all-in-one platform for engineering AI products. Traces, Evals, Datasets, Labels.
Portable annotation tool for creating labeled datasets.
Enriches training datasets with features from public and community shared data sources.