Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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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.
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.
Automatic "Differentiation" via Text, using large language models to backpropagate textual gradients.
Practical principles for building controllable LLM applications around deterministic software.
A machine learning / bayesian inference assigning attributes to objects.
MCP server for Todoist integration enabling natural language task management with Claude.
Open-source implementation of Google Vizier for hyper parameters tuning.
A framework for performing reproducible AI and ML for Weights and Biases.
An Artificial Intelligence Automation Platform.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
Open Diffusion Models for High-Quality Video Generation.
Easy way to turn any app into searchable data for LLMs.
Open-source Python library enabling ML model inspection and interpretation.
An open source Python library focused on outlier, adversarial and drift detection.
Instruct-tune LLaMA on consumer hardware.
Creates or edits images with generative models and visual controls.
Ambrosia helps you clean up your LLM datasets using other LLMs.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.
Creates or edits images with generative models and visual controls.
Audio generation using diffusion models, in PyTorch.
Drop-in AsyncOpenAI replacement that transparently batches requests via the Batch API for cheaper LLM inference.