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Pacific Northwest National Laboratory
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Build and deploy AI-powered APIs in seconds
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
A community repository for MI_CLAIM (Minimum Information for CLinical AI Modeling) reporting standards
Incremental Knowledge Graphs Constructor Using Large Language Models
[NeurIPS 2024] Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Causal Inference and Discovery in Python by Packt Publishing
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
High accuracy RAG for answering questions from scientific documents with citations
Causal and probabilistic reasoning with continuous time dynamical systems
Likelihood-free AMortized Posterior Estimation with PyTorch
Probabilistic programming with programmable variational inference.
ciemss / multisignal-epi-inference
Forked from CDCgov/PyRenewPython package for statistical inference and forecast of epi models using multiple signals
A modular graph-based Retrieval-Augmented Generation (RAG) system
Universal and Transferable Attacks on Aligned Language Models
LangCode - Improving alignment and reasoning of large language models (LLMs) with natural language embedded program (NLEP).
A principled instruction benchmark on formulating effective queries and prompts for large language models (LLMs). Our paper: https://arxiv.org/abs/2312.16171
Problem solving by engaging multiple AI agents in conversation with each other and the user.