Alternatives and similar repositories for Causal_Agent

Users that are interested in Causal_Agent are comparing it to the libraries listed below

• dinobby / MAGDi
  The code implementation of MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models…
  ☆38Updated last year
• yecchen / MIRAI
  Code and Data for "MIRAI: Evaluating LLM Agents for Event Forecasting"
  ☆85Updated last year
• benediktstroebl / agent-evals
  ☆25Updated 7 months ago
• causalNLP / corr2cause
  Data and code for the Corr2Cause paper (ICLR 2024)
  ☆111Updated last year
• causalNLP / cladder
  We develop benchmarks and analysis tools to evaluate the causal reasoning abilities of LLMs.
  ☆136Updated last year
• nikitadhawan / natural
  ☆43Updated last year
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆278Updated this week
• snap-stanford / optimas
  Optimize Any User-defined Compound AI Systems
  ☆65Updated 4 months ago
• plastic-labs / dspy-opentom
  Exploration using DSPy to optimize modules to maximize performance on the OpenToM dataset
  ☆23Updated last year
• padas-lab-de / ir-rag-sigir24-persona-rag
  ☆53Updated last year
• para-lost / ReBase
  ReBase: Training Task Experts through Retrieval Based Distillation
  ☆29Updated 11 months ago
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆62Updated 3 weeks ago
• ASTRAL-Group / LoRe
  When Reasoning Meets Its Laws
  ☆33Updated last week
• AgnostiqHQ / multi-agent-llm
  Lean implementation of various multi-agent LLM methods, including Iteration of Thought (IoT)
  ☆126Updated 11 months ago
• Wenyueh / game_theory
  How to create rational LLM-based agents? Using game-theoretic workflows!
  ☆88Updated 7 months ago
• ValueByte-AI / gpv
  [AAAI 2025] Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models.
  ☆41Updated 3 weeks ago
• thiviyanT / IntelliGraphs
  IntelliGraphs is a collection of graph datasets for benchmarking generative models for knowledge graphs.
  ☆19Updated 10 months ago
• google-deepmind / llms_can_learn_rules
  ☆63Updated last year
• salesforce / summary-of-a-haystack
  Codebase accompanying the Summary of a Haystack paper.
  ☆80Updated last year
• target-benchmark / target
  TARGET is a benchmark for evaluating Table Retrieval for Generative Tasks such as Fact Verification and Text-to-SQL
  ☆27Updated 5 months ago
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆68Updated last year
• miralab-ai / autoreason
  ☆39Updated last year
• Sungwon-Han / FeatLLM
  ☆42Updated last year
• javyduck / KnowHalu
  ☆49Updated last year
• yih301 / LLMFP
  ☆28Updated 9 months ago
• amit-sharma / chatgpt-causality-pairs
  Solving the causality pairs challenge (does A cause B) with ChatGPT
  ☆79Updated last year
• LiqiangJing / DSBench
  [ICLR 2025] DSBench: How Far are Data Science Agents from Becoming Data Science Experts?
  ☆95Updated 4 months ago
• DeLLMa / DeLLMa
  Official Implementation of "DeLLMa: Decision Making Under Uncertainty with Large Language Models"
  ☆69Updated last year
• superkaiba / causal-llm-bfs
  Efficient Full Causal Graph Discovery Using Large Language Models
  ☆45Updated last year
• MurongYue / LLM_MoT_cascade
  This is the implementation for the paper "LARGE LANGUAGE MODEL CASCADES WITH MIX- TURE OF THOUGHT REPRESENTATIONS FOR COST- EFFICIENT REA…
  ☆29Updated last year