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.
Automatic "Differentiation" via Text, using large language models to backpropagate textual gradients.
🔭 The Einstein AI model provides machine-learning models, research, training resources, or evaluation tools.
Python library for experiment metrics logging into simply formatted local files.
Text-to-image models by Black Forest Labs with high-quality photorealistic output. opensource.
Library for high performance deep learning inference on NVIDIA GPUs.
TypeScript SDK to easily call 100+ LLMs using OpenAI's format.
A parallel neural net microframework.
File Parser optimised for LLM Ingestion with no loss. Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
Qwickly forging AGI, enhancing intelligence.
Creates or edits images with generative models and visual controls.
Implementation of Random Forest in Common Lisp.
Automated Design of Agentic Systems.
Agenta 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.
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.
A curated list of open-source tools for systematic reviews, meta-analysis, and evidence synthesis.
A curated list of tools and resources for building production RAG systems.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
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